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/