---
title: "Animesh Samal - Data Engineer 1 in Bengaluru | Tal"
description: "Meet Animesh Samal, Data Engineer I @ Deloitte | Python · Linux · Snowflake · AWS · Docker · Terraform · CloudWatch | React & Node.js | AI-assisted development | | GitLab CI/CD · GitHub Actions · | ETL | Automation | Release Management based in Bengaluru. AI stack includes claude code, claude, and..."
image: "https://tal.club/meet/animesh-samal/share-image"
---

# Animesh Samal on Tal

## Headline

Data Engineer I @ Deloitte \| Python · Linux · Snowflake · AWS · Docker · Terraform · CloudWatch \| React & Node\.js \| AI\-assisted development \| \| GitLab CI/CD · GitHub Actions · \| ETL \| Automation \| Release Management

## About

I build and own production systems where speed, reliability, and security aren't optional\. At Deloitte, I’ve taken deployments from 30 minutes to under 2, delivered 20\+ production releases, cut merge conflicts by 90%, eliminated 100\+ security vulnerabilities, and handled 100–300GB of healthcare data every month\. I don't believe in inflated titles or empty buzzwords\. Give me a system worth breaking, and I'll build it better\.

## Location

Bengaluru

## AI stack

claude code

claude

codex

cursor

gemini

github copilot

## Work experience

Data Engineer 1 at Deloitte, Oct 2024 \- Present · 2 yrs 1 mo, Hybrid, Data platform engineering for federal healthcare : Modernisation \- Re\-architected a monolithic Python/Snowflake batch system \(\~90 modules, 200 SQL/DDL objects\) \- Migrated strangler\-fig style, running legacy and modern pipelines in parallel and reconciling output row by row through dual writes before cutover\. Performance \- Cut runtime by 68% via Airflow DAGs with dependency\-aware scheduling, retries, backfills and parallel execution\. Quality and governance \- Introduced automated data\-quality testing to an untested platform: schema, uniqueness, referential\-integrity and value\-set validation, Pytest coverage above 80% in CI gates\. \- Added structured logging, pipeline metrics, freshness and volume\-anomaly detection\. Product interfaces \- Built a React operations console with a Node\.js backend\-for\-frontend over the Snowflake SDK, streaming live pipeline status over WebSockets\. \- Delivered a React \+ Elasticsearch error explorer with sub\-second faceted search over 1\.4M validation errors and 64K error reports\. Delivery and security \- Provisioned AWS infrastructure with Terraform; containerised workloads with Docker\. \- Built GitLab CI/CD pipelines cutting deployment from 25\-30 min to under two\. \- Designed the branching strategy for a 5\-8 engineer team, cutting merge conflicts 80\-90%\. \- Remediated 100\+ exposed\-credential findings through SAST scanning\.

Full Stack Web Development Intern at Zebaq, May 2023 \- Jul 2023 · 3 mos, Bhubaneswar, Odisha, India, Developed and maintained websites adhering to best practices and industry standards\.

## Education

Bachelor of Technology, Electronics, Indira Gandhi Institute of Technology \(IGIT\), Sarang

Higher Secondary education, Physics, Chemistry and Mathematics, Narayana Junior College \- India

## Public links

- github: https://github\.com/animesh\-samal
- youtube\.com: https://youtube\.com/@animesh9669
- animesh\.space: https://animesh\.space/

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

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