I'm a data engineer with 5+ years of experience building large-scale data pipelines, real-time streaming systems, and AI-powered data products. My work spans telecom, retail, and distributed systems — from petabyte-scale Hadoop-to-Azure migrations at Jio Platforms to modern lakehouse architectures and agentic AI applications at Staples.
I'm actively exploring full-time Data Engineering and Software Engineering roles.
- 🔭 Currently building: Scalable AI applications, RAG pipelines and agentic AI workflows
- 🌱 Exploring: LLM-powered data products, Data Mesh architectures, and real-time ML feature pipelines
- 🤝 Open to collaborate on impactful data infrastructure and AI/data projects
- 📫 Reach me at: gangurde.abhinav@gmail.com | gangurde.a@northeastern.edu
Data Engineer — Jio Platforms Limited (Mumbai, India)
- Built and maintained large-scale ETL pipelines across Hadoop and Azure ecosystems
- Led real-time streaming with Apache Kafka and Spark Streaming
- Drove Hadoop-to-Azure migration and Data Mesh / Data-as-a-Product adoption
Data Engineering Co-op — Staples (Framingham, MA)
- Developed dbt models and Snowflake pipelines with Apache Iceberg and Databricks
- Built agentic AI applications and NLP-powered analytics interfaces
- Automated Snowflake-to-Iceberg migration workflows
Graduate Teaching Assistant — Northeastern University
- Teaching distributed systems, ETL pipelines, RAG systems, and agentic AI to graduate students
