About
Data Engineer with 5.4 years of experience designing scalable ETL/ELT pipelines and AI-driven data products. I combine a strong foundation in distributed computing with advanced capabilities in Generative AI and Vector Databases. What I bring to the table: 🚀 Generative AI & LLM Engineering Designed end-to-end RAG pipelines using LangChain and Vector Databases. Built Knowledge Graphs (Neo4j) to structure unstructured web data. Experience with Prompt Engineering, Semantic Search, and LLM evaluation (Ragas). 🛠 Big Data & Streaming Expert in Apache Spark (Scala/Python) for batch and streaming processing. Real-time ingestion using Kafka and Debezium for CDC (Change Data Capture). Data Lakehouse architecture implementation using Delta Lake and Databricks. ☁️ Cloud & DevOps AWS: S3, EMR, Glue, Athena, Redshift. GCP: Cloud Run, Pub/Sub, BigQuery, Vertex AI. Ops: CI/CD (Jenkins), Airflow orchestration, and Data Quality (AWS Deequ). I am passionate about mentorship, code quality, and building "self-serve" data infrastructure that empowers business analytics. Open to connecting with peers and opportunities in the AI/Data Engineering space.
Work experience
Data Engineer - Consultant at Thoughtworks, Apr 2024 - Present · 2 yrs 6 mos, Bengaluru, Karnataka, India
Associate Consultant at KPMG India, Oct 2022 - Mar 2024 · 1 yr 6 mos, India, Building a cloud-based Data Lake solution responsible for supplying metric data to the downstream systems of the client. Tools Used: PySpark, Python, SQL, AWS.
Analyst at KPMG India, Oct 2020 - Sep 2022 · 2 yrs, Bengaluru, Karnataka, India
System Engineer at Infosys, Jan 2020 - Mar 2020 · 3 mos, Mysuru, Karnataka, India
