Parvathy Unnikrishnan — Data Engineer
Senior Data Engineer building data pipelines, warehouses, and lakes across People Analytics, product growth, and enterprise attribution domains. I own the full data stack — from raw ingestion to analytics-ready datasets — across batch and real-time ETL, dimensional modeling, Airflow orchestration, dbt transformations, and cloud infrastructure on AWS and GCP. I've worked across HR systems, clickstream platforms, operational databases, and streaming systems at companies like Confluent, MyGate, and Neustar — including processing 30M+ event records daily and building multi-client data warehouses from the ground up. I actively integrate AI tools and agentic workflows into my engineering practice — using GitHub Copilot and Claude Code for faster pipeline development, and exploring agentic AI patterns for data workflow automation. Core stack: AWS · GCP · Airflow · dbt · Kafka · Python · SQL · Workday · Tableau · Snowflake · Agentic AI · CI/CD Tools · Big Data · PySpark
Stackforce AI infers this person is a Data Engineering expert in SaaS with a focus on analytics and cloud infrastructure.
Location: Bengaluru, Karnataka, India
Experience: 11 yrs 7 mos
Skills
- Data Engineering
- Etl Pipelines
Career Highlights
- Expert in building scalable data pipelines and warehouses.
- Experience with real-time data processing and analytics.
- Integrating AI tools for enhanced engineering workflows.
Work Experience
Confluent
Data Engineer III (3 yrs)
MyGate
Senior Data Engineer (3 yrs 10 mos)
Bang the Table
Data Engineer (9 mos)
Neustar, Inc.
Software Engineer (1 yr 9 mos)
MarketShare
Software Engineer (2 yrs 3 mos)
Education
Bachelor of Technology (B.Tech.) at Cochin University of Science and Technology