---
title: "Sathish Veerapathiran - Senior Data Engineer in Bengaluru | Tal"
description: "Meet Sathish Veerapathiran, Senior Azure Data Engineer | Azure Databricks | PySpark | SQL | Azure Data Factory | ADLS Gen2 | Synapse Analytics | Delta Lake | Snowflake based in Bengaluru. AI stack includes aistudio, antigravity, and claude code."
image: "https://tal.club/meet/sathish-veerapathiran/share-image"
---

# Sathish Veerapathiran on Tal

## Headline

Senior Azure Data Engineer \| Azure Databricks \| PySpark \| SQL \| Azure Data Factory \| ADLS Gen2 \| Synapse Analytics \| Delta Lake \| Snowflake

## About

I’m a Senior Azure Data Engineer with around 5 years of experience building and supporting enterprise data platforms across real estate, healthcare, supply chain and financial services\. My core experience is around Azure Data Engineering — Azure Databricks, PySpark, SQL, Azure Data Factory, ADLS Gen2, Azure Synapse Analytics, Delta Lake and Snowflake\. I’ve worked across the complete data lifecycle, from source ingestion and ETL/ELT to transformation, data quality, reconciliation and downstream analytics\. My experience includes batch and incremental processing, CDC, Medallion Architecture, data migration, schema mapping, deduplication and performance optimization\. A major part of my work has also been production support\. So when a pipeline fails or the source and target numbers don’t match, I usually trace the data across layers, identify the root cause, fix the transformation or data issue and validate the results before the data reaches downstream consumers\. I’ve worked on enterprise real\-estate data modernization, healthcare data integration, supplier\-performance analytics and financial\-data governance solutions\. Core Technologies: Azure Databricks \| PySpark \| SQL \| Azure Data Factory \| ADLS Gen2 \| Azure Synapse Analytics \| Delta Lake \| Apache Spark \| Python \| Snowflake \| Microsoft Fabric Data Engineering: ETL/ELT \| Data Lakehouse \| Medallion Architecture \| CDC \| Incremental Loading \| Data Migration \| Data Quality \| Reconciliation \| Performance Optimization Engineering and DevOps: Azure DevOps \| Git \| CI/CD \| Azure Monitor \| Key Vault \| RBAC Currently exploring Senior Data Engineer, Azure Data Engineer and Data Engineer opportunities and available to join immediately\.

## Location

Bengaluru

## AI stack

aistudio

antigravity

claude code

claude

codex

cursor

## Work experience

Senior Data Engineer at Apexon, Dec 2024 \- Feb 2026 · 1 yr 3 mos, India, Worked as a Senior Data Engineer supporting enterprise data engineering and modernization initiatives across real estate and healthcare domains\. • Worked on JLL Technology’s enterprise real\-estate data modernization program, processing finance, lease and real\-estate data across CSCRM, WorkDynamics and AZARA platforms\. • Integrated data from enterprise source systems including TME, E1, OVLA, CREM, Corrigo, Collibra, FMS and Archibus and supported source\-to\-target data migration\. • Worked across data ingestion, Snapshot Tables, Analytical Views and curated layers, implementing schema mapping, transformations, incremental processing, cleansing and deduplication\. • Implemented data\-quality checks and source\-to\-target reconciliation to validate completeness and accuracy before publishing data downstream\. • Investigated production issues by tracing data across source and downstream layers, performing root\-cause analysis and validating fixes\. • Worked with Azure Databricks, PySpark, Spark SQL, SQL and Python and contributed to performance optimization, Git\-based development, code reviews and CI/CD deployments\. • Collaborated with business stakeholders and engineering teams to validate transformation rules, resolve data issues and support production releases\.

Associate Data Engineer at Virtusa, Jul 2023 \- Dec 2024 · 1 yr 6 mos, Bengaluru, Karnataka, India, Worked on a healthcare Information Exchange amp; Integration Platform, building and supporting scalable data pipelines across multiple healthcare source systems\. • Developed reusable and parameterized Azure Data Factory pipelines for automated data ingestion and integration\. • Used Azure Databricks and PySpark for large\-volume joins, aggregations, deduplication, null handling and data transformations\. • Consolidated source data into ADLS Gen2 and implemented data\-quality checks across source, staging and target layers\. • Validated schema compliance, referential integrity and business rules before publishing trusted data downstream\. • Monitored production pipelines using Azure Monitor and Log Analytics, performing root\-cause analysis and resolving pipeline and data failures\. • Contributed to ETL testing, documentation, production support and collaboration with engineering and business teams\. Technologies: Azure Data Factory \| Azure Databricks \| ADLS Gen2 \| PySpark \| Python \| SQL \| Azure Monitor \| Log Analytics \| ServiceNow \| Jira

Associate data Engineer at Flex, Mar 2022 \- Jun 2023 · 1 yr 4 mos, Chennai, Tamil Nadu, India, Worked as a Snowflake Data Engineer on the Supplier Rating System \(SRS\) supporting Supply Chain amp; Manufacturing analytics\. • Built and supported a Snowflake\-based data warehouse for supplier performance analysis across on\-time delivery, material quality, payment cycles, cost reduction and continuous replenishment KPIs\. • Developed ETL pipelines using Azure Data Factory to ingest ERP and flat\-file data into Snowflake\. • Implemented Snowflake Stored Procedures, Streams, Tasks and Snowpipe for transformations, CDC and automated data ingestion\. • Designed dimensional data models using Star and Snowflake schemas, tables, views, stages and sequences\. • Optimized Snowflake performance using clustering keys, materialized views, query\-plan analysis and warehouse right\-sizing\. • Implemented RBAC, data masking and column\-level security to support data governance requirements\. • Supported production pipelines through monitoring, troubleshooting, error handling and performance tuning\. Technologies: Snowflake \| SQL \| PL/SQL \| Azure Data Factory \| Python \| Data Warehousing \| CDC \| Snowpipe \| Streams \| Tasks

Software Associate at Cognizant, Dec 2020 \- Mar 2022 · 1 yr 4 mos, Bengaluru, Karnataka, India, Worked as a Software Associate on a Credit Rating Security Product Governance platform in the Financial Services domain, focused on data quality, compliance monitoring and risk visibility for downstream trading and reporting systems\. • Developed Azure Data Factory pipelines to ingest credit\-rating data from multiple financial source systems into a centralized repository\. • Implemented data validation and quality checks covering completeness, consistency, duplicate detection and business\-rule validation\. • Developed SQL\-based data processing and reporting logic to support credit\-rating analysis and compliance monitoring\. • Implemented automated alerts for credit\-score threshold breaches and compliance requirements\. • Built Power BI dashboards and SQL reports to monitor credit\-rating trends, compliance status and at\-risk portfolios\. • Worked with business analysts and compliance teams on transformation rules, documentation, data\-quality requirements and governance processes\. Technologies: Azure Data Factory \| SQL \| Python \| Power BI \| ETL \| Data Quality \| Data Governance \| Git

## Education

Bachelor of Engineering \- BE, Computer Science, PMC TECH COLLEGE OF ENGINEERING ALUMN

[View the original profile](https://tal.club/meet/sathish-veerapathiran)

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