Ashutosh Jasrotia

ASHUTOSH JASROTIA Data Engineer | Data Analyst | Cloud Solutions | ETL Development Location: Himachal Pradesh, India Email: [removed] Phone: [removed] LinkedIn: [removed] SUMMARY Data professional with 5 years of experience specializing in data engineering, cloud migration, and optimized deployment of machine learning workloads. Proven expertise in building backend systems and designing scalable ETL pipelines using AWS, Azure, Python, and SQL. Skilled in containerization (Docker, Kubernetes), GPU infrastructure, and Ray for distributed model serving. Strong ability to align technical solutions with business goals to enhance operational efficiency and reduce costs. EXPERIENCE LLM Trainer — Turing (09/2025 – 11/2025, Remote) • Developed advanced AI capabilities for multi-turn conversations using function-calling tools. • Integrated tools like JIRA, Slack, and PayPal with realistic backend databases. • Migrated tools to centralized servers to improve scalability. • Created task-generation processes requiring multistep reasoning and realistic tool usage. Data Engineer — Insights Factory (10/2023 – 05/2025, Remote) • Designed and optimized ETL pipelines using AWS Redshift, Azure Databricks, and Azure Data Factory. • Led cloud migration of legacy ETLs and improved CI/CD processes. • Containerized and deployed ML solutions using Docker, Kubernetes, and Snowflake. • Built REST APIs with FastAPI, Flask, Ray Serve on GPU clusters. • Created DBT models, automated SQL/PLSQL workflows, and implemented data governance. • Built dashboards in Power BI and Tableau. Key Achievements: • Migrated 50+ legacy ETLs → 30% cost reduction. • Implemented governance → 25% higher data accuracy. • SQL optimization → 40% faster processing. • CI/CD improvements → 20% faster deployments. Data Engineer — GAI Technologies (08/2021 – 09/2023, Remote) • Optimized GPU-based ML workload APIs → 30% faster performance. • Improved SQL and API performance for high concurrency. • Automated batch/stream data jobs using Docker, Kubernetes, GPU setups. • Developed microservices with Ray clusters. • Mentored junior engineers and improved Redshift performance. Data Engineer — TCS (07/2019 – 12/2020, Remote) • Strengthened API security by 25% through automated scans and zero-trust principles. • Integrated continuous security policies in CI/CD. • Designed scalable, secure data pipelines. EDUCATION • B.Tech, Computer Science & Engineering — HPTU -) • Diploma, Computer Engineering — Govt Polytechnic Kangra -) SKILLS AWS, Azure, ADF, Databricks, Redshift, Snowflake, DBT, Ray, Docker, Kubernetes, Python, SQL/PLSQL, Airflow, ETL, CI/CD, GitHub Actions, Power BI, Tableau, REST APIs, FastAPI, Flask, Microservices, Data Governance. LANGUAGES English (Native), Hindi (Native), Italian (Proficient)