Python Training classes near me in Global Technology Park, Bellandur, 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).

I have mentored developer teams during my time in the software industry. I have also trained BTech/MTech students in engineering colleges.

I am a data science expert with pretty good enough years of experience investigating and presenting solutions on complex data-driven problems on a variety of issues with pursuing a masters degree in it. I have experience in SAP, data fusion of Big Data in telecom, market and media research, and have designed research and data products in a variety of areas. I have mastered  regularly in business analytics at the Department of management studies, Indian Institute of science. I have worked with a wide variety of data types, and am proficient in Statistics, R, Python, Pyspark and machine learning models. Machine Learning, AI, Deep Learning, Quantum AI, Computer Vision, Speech, Language understanding, Knowledge Graph, Conversational computing, and IoT. SPEAKING ENGAGEMENTS:Forums - TEDx,United nations developing programme, Awareness Raising and Networking Event EU-India Call Smart and Integrated Local Energy Systems, Analytics India Magazine, 6th International Conference on Business Analytics & Intelligence (ICBAI). Companies - Airtel xLabs, Infosys. Startup Forums - Pradical works Government - CISTUP,APEPDCL Universities - IISc, IIM Bangalore.

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.

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I can teach each and every topics very easily and make it stronger for the students.

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I am a teacher/Experienced Software Engineer with a demonstrated history of end to end product development and deployment in Python. Skilled in Python Django Framework, RestAPI, PostgreSQL, MongoDB Deep Learning, Big Data technologies and full stack Web Development using python.

Congratulations on selecting Data Science as your profession. I'm a Lead Data Scientist in a leading US based consultancy MNC. I consider teaching as my passion. Looking forward to interact with you all.

As a working professional and trainer, I am passionate about teaching and learning from my experiences. With my diverse skillset, I can help you improve in various domains, from beginner to expert levels. I specialize in MySQL, data analysis, VBA and macro programming, machine learning, advanced and basic Excel, data warehousing, project proposal writing, and much more. Moreover, I have experience helping people transition from one career domain to another. Shifting domains is a common thing, and I can guide you to find the right set of skills to make that change. I offer personalized solutions tailored to your needs, and I'm always happy to answer your questions and help you achieve your goals. So if you're looking for a trainer, teacher, helper, or guide, don't hesitate to reach out to me. Spend two to three minutes getting to know me, and let's work together to take your skills to the next level.

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Working software professional with good understanding and applications of python in various domains. I have 2+ years of experience in training students in python, SQL ,etc.

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I'm a CS engineer working in data science field since for 4 years. My skills are in Python, Excel, SQL and Power BI. I have worked for many fortune 100 clients amd am currently working for one of the big four financial firms in the world. I habe also conducted many sessions on python, Power BI and other soft skills like storyboarding. I like to teach and pass on the knowledge.

I am working as a Data scientist for one of the Worlds Biggest Tech Giant with 6 + years of experience under following heads: Machine Learning Data Science Deep Learning Python MongoDb Visualization I have a wide range of expertise in training students, IT professionals across the globe in the above mentioned heads.

I am working as a software engineer and want to teach students for my self-satisfaction. I teach computer languages from the below list (Python, Django, PHP, Laravel, Mysql, HTML, CSS, Javascript etc.)

I have 3 years of experience in IT industry and teaching programming languages.since python is one of my favorite programming languages. It has 3 levels Basic,Moderate and Expert.

I am passionate trainer with over 7 years of experience. I train on Python,Java, and Databases.

Im a trainer and a R&D engineer. I have 3 years of teaching experience in Python and has an industrial experience of 11 years. The python training that is delivered by me will have following benefits. 1.By end of the course person with Zero Python knowledge will be able to write the program on his/her own. 2.Practical oriented training. 3.Will be helpful for career transition into Data science or ML. Many more .... The course duration will be 1.5 months. Course fees :Rs.7000/-

I am a passionate and dedicated Python Trainer with strong experience in teaching Python programming from basics to advanced level. I have trained B. Tech and engineering students, helping them build a solid foundation in core Python, data structures, and logic building. My teaching approach is student-friendly, practical, and concept-oriented. I explain complex topics in a simple way with real-time examples, hands-on coding, and assignments so students can gain confidence in programming.