---
title: "satyam kumar - Analytics and business intelligence engineer in Greater Kolkata Area | Tal"
description: "Meet satyam kumar, Azure Data Engineer | Databricks | PySpark | ADF | Delta Lake | Azure Synapse | ADLS Gen2 | ETL/ELT Pipelines | DP-203 (In Progress) | TCS based in Greater Kolkata Area."
image: "https://tal.club/meet/satyam-8/share-image"
---

# satyam kumar on Tal

## Headline

Azure Data Engineer \| Databricks \| PySpark \| ADF \| Delta Lake \| Azure Synapse \| ADLS Gen2 \| ETL/ELT Pipelines \| DP\-203 \(In Progress\) \| TCS

## About

I'm an Azure Data Engineer with 4\+ years of hands\-on experience designing and scaling enterprise cloud data solutions at Tata Consultancy Services\. My work sits at the intersection of cloud architecture, data modelling, and pipeline engineering — building systems that turn raw, fragmented data into reliable, analytics\-ready assets\. My core toolkit is Azure\-native: Azure Data Factory \(ADF\), Azure Databricks, ADLS Gen2, Azure Synapse Analytics, and Delta Lake\. I architect end\-to\-end ETL/ELT pipelines using PySpark and Spark SQL, apply Medallion Architecture \(Bronze / Silver / Gold\) patterns to organise lakehouse layers, and implement data quality and governance frameworks using Unity Catalog and Delta table validation\. Some of what I've delivered at TCS: → Engineered 15\+ ADF pipelines consolidating data from 15\+ source systems into a unified ADLS Gen2 data lake, enabling Power BI self\-service analytics → Optimised PySpark workloads to achieve a 35% gain in execution efficiency and reduced Azure compute costs → Re\-architected SQL query patterns in Azure Synapse, cutting reporting latency by 40% → Maintained 99\.8% pipeline reliability across production ADF/Control\-M schedules using Azure Monitor alerting → Built CI/CD deployment workflows on Azure DevOps to standardise and accelerate release cycles I'm passionate about clean data architecture — particularly Medallion/Lakehouse patterns, schema\-on\-write governance, and building pipelines that are observable, testable, and maintainable at scale\. I'm currently working towards my Microsoft Azure Data Engineer Associate \(DP\-203\) certification\. If you're building cloud data platforms, modernising legacy ETL infrastructure, or scaling analytics on Azure — I'd love to connect\.

## Location

Greater Kolkata Area

## Work experience

Analytics and business intelligence engineer at Tata Consultancy Services, Sep 2023 \- Present · 2 yrs 10 mos, Kolkata, ▸Architected end\-to\-end Medallion Architecture \(Bronze / Silver / Gold\) data lakehouse on Azure Databricks using PySpark, Spark SQL, and Delta Lake backed by ADLS Gen2 — processing 5TB\+ of enterprise data daily with 99\.8% pipeline reliability\. ▸Engineered 15\+ parameterised ADF pipelines with dynamic linked services, consolidating data from 15\+ disparate source systems into a centralised landing layer and reducing manual ingestion effort by \~60%\. ▸Optimised PySpark notebooks and Spark SQL workloads through cluster auto\-scaling and caching strategies, achieving a 35% improvement in execution efficiency and measurable reduction in monthly Azure compute costs\. ▸Re\-architected legacy SQL queries and stored procedures into Azure Synapse Analytics patterns, delivering a 40% reduction in downstream reporting query latency for business analysts\. ▸Implemented CI/CD deployment pipelines on Azure DevOps \(Repos / Boards / Pipelines\) with structured Git branching \(feature/dev/main\), standardising production release cycles and reducing deployment lead time\. ▸Built multi\-stage Delta table validation frameworks enforcing schema compliance, RBAC access controls, and PII data masking — achieving zero corrupted\-data incidents in production data lakes\. ▸Integrated Azure Key Vault for secrets management across ADF linked services and Databricks clusters, hardening enterprise security posture and meeting data governance compliance requirements\. ▸Partnered with cross\-functional stakeholders, solution architects, and product analysts within Agile/Scrum sprints to translate business analytics requirements into scalable, high\-availability cloud data models\.

Assistant System Engineer at Tata Consultancy Services, Sep 2022 \- Sep 2023 · 1 yr 1 mo, Kolkata, West Bengal, India

Assistant system engineer\- trainee at Tata Consultancy Services, Sep 2021 \- Sep 2022 · 1 yr 1 mo, Kolkata, West Bengal, India

## Education

Bachelor of Technology \- BTech, Electrical, Electronic and Communications Engineering Technology/Technician, RNS Institute of Technology \- India

Kendriya vidyalaya No\. 2 AFS Hindon

[View the original profile](https://tal.club/meet/satyam-8)

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