Nitheesh Kumar

Engineering graduate with hands-on experience across data engineering, backend development, and cloud automation — building ETL/ELT pipelines on AWS (Glue, EC2, S3, RDS) and Azure (Data Factory, Databricks), and REST APIs with Flask. Skilled in Python, SQL, PySpark, Delta Lake, Terraform, Airflow, and CI/CD with GitHub Actions — focused on reliable, well-validated systems that cut manual effort and improve data quality.

Data Engineer Intern - Quantum Gandiva AI

(2026-03)

• Built and automated 6 ETL/ELT pipelines with AWS Glue to prepare data for AI applications, cutting manual data-preparation effort by roughly 60% on recurring workloads.
• Provisioned and maintained AWS environments (EC2, S3, RDS) supporting development and staging infrastructure for the team's applications.
• Wrote Terraform (Infrastructure as Code) modules to provision and manage 20+ cloud resources, reducing environment setup time from a few hours to under 15 minutes.
• Assisted in migrating 3 cloud accounts between organizations — performing configuration audits, resource transfers, and data-integrity checks — completing the transition with no downtime or data loss.

Data Engineer Intern - Syren Cloud Technologies

(2025-08 - 2025-10)

• Optimized existing PySpark pipelines on Databricks processing 10+ datasets (2M+ records) per run with SQL and Delta Lake; cut job execution time by 35% by applying partitioning and caching strategies.
• Implemented Bronze-Silver-Gold layers following the Medallion Architecture pattern and applied data validation and standardization checks, cutting data-quality errors by 40%.
• Designed and scheduled Azure Data Factory (ADF) pipelines to ingest 10+ source tables into the Bronze layer and trigger downstream Databricks transformations across 3 environments.
• Set up CI/CD workflows with GitHub Actions across 3 environments alongside the platform team, automating deployments and cutting release time by about half.

Software Developer Intern - Prabodh Technologies

(2025-01 - 2025-07)

• Created and deployed Flask web applications exposing 5 REST APIs, improving API response times consumed by the frontend by ∼30%.
• Used SQLAlchemy ORM to simplify database interactions, reducing repetitive query code by 40% across the codebase.
• Configured and managed a PostgreSQL database within a Dockerized environment, supporting 100K+ records with reliable storage.
• Orchestrated Apache Airflow for workflow automation, scheduling daily jobs that ingested and persisted data with 99% run reliability.

B.Tech - Electronics and Communication Engineering - Kakinada Institute of Engineering and Technology – II (2019 - 2024)