Big Data Training near me in Bangalore

Objectives – Having 18.5 years of experience As a Technical Lead and Architect, I am passionate about leveraging my expertise in Databricks, Data Build Tool, Spark, Confluent Kafka, Data Lake, Lake House and Cloud Solutions to drive innovation and efficiency. With a solid background in data architecture and IT Infrastructure, I am to contribute to the robust and vision of your company by providing ro bust technical solutions that align with strategic business goals. My Goal is to enhance data-driven decision-making processes, optimize big data pipelines and implement secure and scalable cloud architectures that people the organization forward in the ever-evolving technical landscape. Certification & Achievements – 1. Confluent Certified Administrator for Apache Kafka: expiry July 2026. Confluent Certified Administrator for Apache Kafka • Amit Raj • Confluent 2. Databricks Certified Data Engineer Professional: expiry Aug 2026 Databricks Certified Data Engineer Professional • Amit Raj • Databricks Badges 3. Databricks Accredited Lakehouse Fundamentals: expiry June 2025 Academy Accreditation - Databricks Lakehouse Fundamentals • Amit Raj • Databricks Badges 4. Microsoft Certified: Azure Administrator Associate (AZ104): Microsoft certification ID: 1100039942 Expires on: August 3, 2025 Credentials - AmitRaj-8869 | Microsoft Learn 5. Microsoft Certified: Azure Security Engineer Associate (AZ500): Microsoft certification ID: 1100039942 Expires on: August 6, 2025 Credentials - AmitRaj-8869 | Microsoft Learn 6. Recognition certificate from Fidelity for designing global solutions for Data exchange. 7. Got Achievement medal from DIB(Client) with appreciation for design event-based enterprise architecture & contribution – EventHub SUMMARY • Overall total of 18.5+ years of Experience years of Experience in Application Design, Development & Deployment of Hadoop Eco System/Java/J2EE systems with good exposure to Enterprise Architecture. • Relevant Experience 9.2 years in Big Data technologies working with multiple clients and domain knowledge. • Experienced in Cassandra data modelling, cluster setup and data management. • Experienced in working with Spark-SQL, Spark SQL and Spark Structure Streaming, MLib to process and analyse data queries. • Experienced in designing solutions using Spark Streaming and Kafka Streaming for Payment Gateway/point of sales events. • Individual Contribution (Kafka Architect): Delivered UAT and PROD Cluster within the timeline for Kafka cluster using Cloudera 6.x, CSP 2.0. • Implemented a unified data platform to gather data from different sources using Kafka Producers and consumers in Scala and java. • Solid background in Object-Oriented analysis & design, UML and various design patterns. • Worked using Azure cloud(Blob, EventHub), Kubernetes, docker with Spark, scala, Schema Registry, Avro Schema with home security application for Honeywell • Implemented KSQL, KTable and KStream using Confluent Kafka along with Kafka Connect. • Hands-on Data bricks - Databricks Clusters, Data Lakehouse, Delta lake, DBFS, EXPLORE, Analyze, Clean, Transform and Load Data using Databricks. • Experience with Azure: Azure Synapse Analytics, ADLS, ADF, CosmoDB, Azure Function, Stream Analytics, Power BI. • Experience with SQL and NoSQL databases including Mysql, Oracle, Cassandra, and PostgreSQL. BigTable • Experience building and optimizing the ‘big data’ data pipeline. • Experince with Azure Devops, CI/CD pipeline, Kubernetes and docker • Motivated Technical Architect with 5 years of progressive experience. • Having Experience AWS (Ec2,S3) • Having experience with Snowflake to design data lake and load data from multiple sources to the Snowflake database. • Effectively manages assignments and team members. • Dedicated to self-development to provide expectation-exceeding service. Customer-focused, successfully contributing to company profits by improving team efficiency and productivity. • Utilizes excellent organizational skills to enhance efficiency and lead teams to achieve outstanding delivery. SKILLS == ===================  Database architecture  Database architecture development  Data Architecture  Big Data ETL  Technical solution development  Azure data solutions  Data insight provision  Technical guidance  IT Architecture  Technical solutions  Big data frameworks Technical Skills: Hortonworks2.5, Cloudera5/6, Apache Hadoop2/3 ,Spark2/3,Apache Kafka, Confluent Kafka, Hive 2/3, Impala, Sqoop, OOZie, Zookeeper, Snowflake, Data Build tool (DBT), HBase, Apache Cassandra /DataStax Cassandra, Data Bricks, Azure Cloud, AWS cloud, Talend, Airflow etc. Programming Language Python , Scala & Java Other Tools Kibana, Logstash, ElasticSearch, ELK. ============================= PROJECT UNDERTAKEN: Project: Implementation of Data Warehouse and reporting platform Roles: Databricks Architect & Engineer Teams: 12 members Technical Skills: Azure Cloud, Azure Data Factory (ADF), ADLS, Databricks, Spark3.x, Python, Scala2.15, DB2, Oracle 12g, Azure SQL My Contribution Data Bricks Infrastructure Solution: - Configured Unified Data Access Control using Unity Catalog – E1 & BY System provide a specific set of permissions, like Read Only, or, Write Only to a specific Group of Users on one, or, some of the Delta Tables, or, even at the Row Level, or, Column Level, which can contain Personally Identifiable Information, i.e., PII, of that Delta Tables - Provide Data Governance with centralized place: administer (TAI) the access to the data, and, also audit the access to the data. - Applied Data lineage for E1 & BY tables with look-up tables using Unity Catalog. - Implemented Data sharing protocol to apply secure data sharing downstream using Unity Catalog and - Design Architecture of Unity Catalog which can be linked to multiple Databricks Workspaces- DEV, UAT, PROD environment. - Created Metastore for the Unity Catalog - Apply User Management of the Unity Catalog for the TAI Lakehouse project: Users, Groups, or, the Service Principle, and, the permissions those have - Configure Data Bricks Cluste with spark 3.x for DEV, UAT & PROD for TAI -E1 & BY System. - Design & apply medallion architecture, Setup a Data Lake house with Bronze, Silver and Gold layers of a storage system using Azure Data Lake Gen2. Azure Cloud Infra and Security: - Install self-hosted integration runtime for the DB2 ON DEV, UAT & PROD and Oracle on-prem cluster on the source system. - Install Azure Virtual network managed IR On DEV, UAT & PROD. - Installed Db2 connector on DEV, UAT & PROD. - Created linked service lnk_BY_Azure_SQL, lnk_E1_Azure_SQL, lnk_Db2_E1 - Install and Configure Azure Key-Vault, added all the credential for Azure SQL, ADLS, Databricks, Users, global users, linked service to Azure Key Vault. – DEV, UAT & PROD. - Created 3 nodes for DEV and 5 nodes for PROD cluster to migrate data. - Setup and configure Azure Active Directory to provide team access policy for Databricks cluster, Azure Data Factory, Azure SQL, Azure Data Lake house. - Coordinate with TAI Client and Microsoft support team to resolve throughput issues. As Azure & Databricks Data Engineer: - developed most critical data ingestion pipelines using Azure Data Factory (ADF) for E1 to migrate 12.8TB of 120 tables from Db2 to ADLS RAW as a parquet file. There are many large tables with 2-4 TB of volume data containing 400 to 800 million records. - Initial & Incremental migration pipelines for both the E1 and BY sources with a watermark based on Julian's date & time - Design Audit table (Process log) and Control table (System) to achieve dynamic pipeline and audit information for master and child pipeline. - Design architecture solution to achieve delete for PKSNAPSHOT – E1 & BY. - Build dynamic delete pipeline using ADF (load PKTBL), Databricks PySpark for Daily, Weekly, OnDemand, and Yearly frequency to delete records from target (Analytics layer – gold layer) based on source system delete column and delete table - Build transformation using Datarbicks Spark with Scala for E1 to - Apply a transformation with a lookup table and transform to the Silver layer. - Build transformation to transform on Analytics layer (Gold) using Databricks Spark & scala. - Implemented UPSERT using Spark Structure Streaming with 5 minutes on the Analytics layer - Design pipeline architecture for master pipeline, child pipeline with different activity ID, Pipeline ID, Master pipeline ID with different pipeline Run ID to make sure for smooth transition audit. - Build logic, developed using Pyspark on Datarbicks – applied on DEV, UAT & PROD to check counter – master pipeline IN PROGRESS - or NOT so that pipeline execution should not overlap. - Pass pipeline parameter to insert or update Audit/Control table using Databricks -Pyspark. - Monitor Performance in DEV & PROD, worked with the team to reduce time. - Milestone – to achieve 10-minute SLA for Incremental load on E1 & BY (end-to-end completion time) - Milestone – achieved 1.53.45hrs to load (400millions record with2.3TB) at RAW as parquet file using ADF pipeline - Interact with Azure Devos’s engineer to build a CICD pipeline for DEV, UAT & PROD with - Develop pipeline as POC using Databricks Workflow, compare the cost with Azure Pipeline, and present to the client. My Contribution to Past Project: Project: Data Exchange (Security Framework) Roles: Technical Lead & Architect – Confluent KStream & KSQL Client: Fidelity & Westpac Team: 9 members Technical Skills: AzureDevops, Jdk 19.0, Confluent Kafka, Kstream, KSQL, Azure Databricks, DBFS, Delta lake, Azure Data Factory, ADLSGen2, Confluent Schema Registry, AES Algorithm, Hash Algorithm, Kubernetes Cluster(AKS).

Welcome to Saarathi child Education, We are here to understand your training needs for Spoken English, DevOps,AWS,BigData,ML & Cloud.We take classes for spoken english and our tutor Ujjwala Sardeshpande is a reknowed tutor from Bhilai(Chattisgarh) .Our Foundation is deeply involved in the field of child education and skill development i.e we provide training for AWS certified cloud architect course a and tutor has 19 years of experience working on DevOps/AWS/BigData/ML and other technologies. Ujjwala has more than 27 year of teaching experience.

I am a software programmer and a open source geek. I love to do programming especially in python as I feel its a kind of language that sparks the interest in novice learner, focuses on logic development. I have experience in system automation in Linux/Unix OS,rich text processing,data science models and machine learning. Areas of Interest: Natural Language Processing(NLP). Image processing/recognition. Machine learning. Competitive challenges (Kaggle,Hackathons in Hackerrank etc.) Advanced SQL.

I have 3 years of working experience in Corporate on Big Data and equal number of experience in big data development

I am a Technical Architect - Big Data working with Fractal Analytics, Bangalore. I have already given in-person training to more than 70 people and more than 15 people have already got job in the same domain.

I am Big data developer. I can teach hadoop,spark.

Microsoft Power BI Professional with 15 years of experience in BI Analytics . Have implemented 20 different BI Projects across multiple domains. Clients include Cisco, AT&T, P&G, Cardinal Healthcare, University of Berkeley California. Recently moved back to India after 14 years of Experience in abroad. Teaching is my passion, always liked to share my knowledge to the people who really want to pursue career in BI feild.

I have about 16 years of experience, been into hadoop and big data from past 4 plus years. Right now working in an MNC as an senior architect.

I am an experienced, qualified teacher and tutor with over 10 years of experience in teaching Maths and Chemistry, across different boards including CBSE, ICSE, IGCSE and State Board. Let's connect to know more .

In the course of entire training we will learn end to end of bigdata : 1- Hadoop Architecture. 2- MapReduce. 3- Hive. 4- Pig. 5-HBase. 6- Sqoop. 7- Oozie. 8- ZooKeeper. 9- Cassendra. 10- Spark 11- Scala 12- Data Analytics and Data Science(Machine Learning and Deep Learning Algorithms) using R and More

Greetings from Igeeks Technologies!!! Your One-Stop Learning Platform, to join our extensive job oriented Software Training programs and internships in cutting-edge technologies. We come with 18 years of experience in Software research and training, and have gained trust from 50+ universities and institution partners across India. Our Award Winning Tech Team have trained thousands of students and have guided over 5000+ working projects via Practical Research based Project training. Technology Services and Offerings: 1. Full Stack Web Development in Java/Python 2. Data Analysis 3. Data Science(AI & ML) 4. Software Testing 5. Cloud and DevOps 6. PCB Designing 7. Automotive Embedded System 8. VLSI Designing Duration: 3 to 4 months. Training is given by the certified Industry Experts. If you are interested you can take the free Demo Class.

Worked on Bigdata technologies for over 5 years and and have conducted corporate training sessions during my job tenure.

The Big Data Hadoop Program is designed to provide in-depth knowledge of big data frameworks and processing techniques. This hands-on course helps professionals manage and analyze large datasets efficiently. The program covers: Hadoop Ecosystem: HDFS, YARN, and MapReduce fundamentals Apache Hive: Data warehousing and SQL-like querying Apache Pig: Scripting for data transformation Apache Sqoop & Flume: Data ingestion from RDBMS and streaming sources Apache HBase: NoSQL database for real-time access Real-Time Projects: End-to-end ETL and big data workflows Ideal for data engineers, developers, and analytics professionals

I am a Data Scientist with more than 13 years of Big Data and Data Science experience. A PhD research Scholar researching in the area of Edge Computing . Working as a General Manager in one of the top fintech company, visiting faculty in Reva university and trained more than 3000+ students and helped them in their transition to Data Analytics For Resume building, Big data And Data Science Consultancy, and Training in Big Data, Data Analyst, Data Science, AWS , Python and Data Engineering feel free to reach me out.

We majorly focus on career transition with our courses. We crafted our courses in such a way that, we can make our participants to transform their careers into Data Science, Machine Learning, Deep Learning, IOT, AI, Azure, Big Data etc. with 100% support from BEPEC and Team. If you think about career transition, think about BEPEC.

I am software professional working in this industry from last 5 years.

Big Data and Hadoop and DATASCIENCE also provided with python

Have taught Teradata,Informatica,SAS ,SAP Business Objects and Hadoop in the IT organization where I work and in training institutes in India and the United States Also,have educated folks in Microsoft Office Suite and soft skills. I have developed various applications in Teradata for big US retails giants so I have more of a practical knowledge rather than bookish knowledge,hence can guide students to scale up in a specific process oriented way. My teaching methodology is mostly practical driven. I have built analytical models in SAS as an analytics tool and Teradata as the underlying database. Also,I have experience in ETL tool Informatica and reporting tool Business Objects,thereby having end to end data warehousing knowledge.A prospective student can benefit the most from my technical capability and dynamic interpersonal skills to become a complete IT professional in due course.

Ants Consulting Services is a CRISIL-MSE 4 rated organization with two decades of presence in 8 states across India. Ants was incorporated in 2004 with a simple yet a powerful purpose of providing the right skill training to students there by making them employable in various sectors. We specialize in providing an overall skill development training programs which include training in cutting-edge technologies for all domains or streams to make students ready to start a great career. We have trained more than 1,75,000 students across India under various Skill Development Programs like Corporate (TITAN) sponsored, Central and State Govt. (PMKVY, DDU-GKY) sponsored etc. Ants is equipped with efficient trainers and well-structured training materials that enable skill transformation to employability thereby, reducing the academic and industry bottlenecks. Awards & Recognition Em panelled training partner of NSDC, Govt. of India Awarded as best MSME 2017 Has presence across 10 states in India Awarded as Consultant of Year 2017 by CEO magazine Em panelled under AICTE for certain courses CRISIL-MSE 4 rated organization.

Experience, Excellence, Quality, Commitment, and Dedication are the five characteristics that describe H-Source Technologies Pvt Ltd which is located in the heart of Bangalore, India. We ventured into the field with a mission to deliver robust effective IT Solutions to our clients giving value for your money with guaranteed quality assurances.

SMILE TECH is a path breaker in the pursuit if excellence. The goal is to inculcate in the students a love for learning and a desire to excel at every level.

SanKir Technologies, an Institute in Digital Transformation Space is committed to bridge the skill gap in digital. industry by providing high quality training with industry relevant Capstone Project in the areas of BIG DATA. Hadoop, Spark framework and Java. The programme is designed by professionals with 50+ years of industry. experience and the sessions are conducted by experienced Architects and Subject Matter Experts. Our Ignite Programme enables Fresh Graduates to be Industry Ready by imparting skills in Unix, Database, Java, Advance Java and Web Development. Our Propel Programme enables experienced professionals to upskill themselves in Bigdata/Hadoop/Hive/Scala(or PySpark)/Spark and Kafka and become expert in Data Engineering.

We are the best in class for Big data as we have trainer from industry only. They are certified and more than 10+ years of experience.

TechGeest was established in 2015, to train IT professionals in Big data, Hadoop, Spark, AWS, OSBI, MULE, DevOps and Data Science. Our Trainer has trained more than 500 IT professionals. We will provide 100% Job Assistance, Resume Preparation, Interview Tips. We will be teaching how to handle Big data Interview and how to handle real-time work once you get into the organization. We provide Big Data Developer training, with Java and Linux courses as an add on. Work on the real cluster and Cloud environments like AWS and Google Cloud platforms. 100% Job oriented and covers real-time use cases.