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).

proficient

6 years of experience in Informatica and Dataware house.

I'm a certified Big data and Hadoop professional. I can handle in detail concepts of big data and hadoop. Rather than just going through the slides, i will use a special technique called "WHITE BOARD" where the student will get more insight on what the trainer is trying to convey.

I am an IT professional with over 20 years of industry experience, with a strong passion for teaching Big Data technologies. I have extensive hands-on experience working with Big Data ecosystems, including Apache Spark, Python, and data processing frameworks used in real-world enterprise environments. Throughout my career, I have worked across multiple domains, technologies, and roles, collaborating with global teams across different geographies. This exposure allows me to bring practical, real-life use cases into my teaching and help learners understand how Big Data concepts are applied in actual projects. My teaching approach focuses on building strong fundamentals, followed by hands-on implementation and problem-solving. I explain complex concepts in a simple, structured manner and emphasize practical scenarios, performance optimization, and best practices used in the industry. I aim to help students and professionals gain job-ready Big Data skills through interactive sessions, examples from real projects, and guided practice.

Hey There, My self Ravi and i was teaching Bigdata and Spark from past 2yrs. I am having a total of 10yrs experience in IT developing various applications, portals, enterprise applications, auto mobile applications and BFSI platforms using Java/J2ee, Spring, Hibenate, SQL and MySQL. Aand relavant to Bigdata Hadoop, Spark And Scala/Python had a total of 6yrs of experience and worked on Auto Mobile and Customer 360 applications. Expert in Spark development and Training from the basics to advanced level along with indepth understanding. Thanks

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.

I am working as a Bigdata Engineer. I am providing training on Bigdata tech: PYTHON, Apache Spark, PySpark, Hadoop, Control-M, HIVE, Sqoop, Apache NIFI, HBASE etc.

I am an experienced engineer offering expert tuition in a diverse range of skills, encompassing Python programming, AI, data science, machine learning (ML), cloud computing, data analytics, database management, web development, JavaScript, Java, C++, MATLAB, R, SQL, big data technologies (Hadoop, Apache Spark), version control systems (Git, GitHub), DevOps tools (Docker, Jenkins), Agile methodologies, data structures, and algorithms. With a comprehensive understanding of these vital areas, I provide students with complete guidance to enhance their proficiency in these fundamental software skills. By emphasizing practical applications, problem-solving techniques, and collaborative learning, I strive to equip students with the necessary knowledge and skills to excel in the dynamic field of engineering and software development.

I have relevant academic and industrial experience in analytics field for 10 years. Mainly I am into customised analytical solutions in Image Processing/Data Analyst/Business Analyst/Data Scientist fields.

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 engineer working in an MNC. I have 3 years of teaching experience.I can teach every topic of science and mathematics upto class 10 very easily and can help students to understand concepts thoroughly. I can teach Java core also as I have 3+ years working experience in JAVA.

I have used this technology in my experience in industry for one of large clients in Germany. Hence starting this course.

Have 7+ years of experience using Statistical model, Machine learning algorithms, Data pre-processing, Data visualization and Data mining using traditional and modern method to solve challenging business problem with excellent communication abilities and experience in data to decision making journey. Understanding of advanced mathematical concepts and statistics inference of supervised and unsupervised learning. Bringing 14+ years of total work experience with strong technical skills with team handling and managerial skills in domain like retail, IT, finance, Health, Insurance, Image.

Technical Skills: 1. Mulesoft 2. Core Java 3. ELK stack (Analytics) 4. Active MQ 5. Apache Kafka 6. SSL Certificates 7. Server Infra Setup Accomplishments: Started as Developer Community for Mulesoft known as mulebytes.

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 am A Red Hat Certified Professional with currently 4 Certifications from Red Hat, apart from that I know my stuff and have already taught Linux, Cloud Computing & DevOps to about 50 students. Hoping to work with you soon.

I am a big data architect. My students have excelled in the field of big data and cloud. I have trained college students, working professionals like developers, qa, leads, architects and VPs. Also educated few CEOs and CTOs to revolutionise their software products and agile practices.

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.

this covers complete database hive pig all concepts related to big data role

I have hands-on experience in Big Data technologies which includes Hadoop, Hive, HBase,Kafka along PySpark and Scala. I have implemented real-time applications for Financial institutions and other transport domain.