
Gajendra B G
@gajendrabg
I build cloud data platforms and generative AI analytics products on GCP and AWS.
What I'm looking for
At Info Services, I build generative AI analytics agents that let business users query 100+ datasets through natural language.
I architected INAAS with FastAPI on Cloud Run, Vertex AI Gemini, and BigQuery to automate Text-to-SQL, query execution, result interpretation, and insight generation. I also built a stateful conversational layer using Firestore to preserve context and query history.
For Raw Data Analytics, I delivered a self-service data intelligence platform for dataset onboarding, metadata discovery, profiling, and exploratory analysis. I used Databricks, Amazon Bedrock Knowledge Bases, OpenSearch Serverless, LangChain, and schema-aware RAG to generate PySpark analysis code from natural-language requests.
I’ve also delivered metadata-driven CDC and event-driven ETL platforms for Ford Motors using BigQuery, PostgreSQL, Airflow, Cloud Run, Pub/Sub, Docker, and GitHub Actions.
Experience
Work history, roles, and key accomplishments
Data Engineer
Info Services
Mar 2023 - Present (3 years 6 months)
Architected and deployed enterprise AI analytics platforms, including INAAS, enabling natural language querying of 100+ datasets. Engineered containerized FastAPI services on Cloud Run integrated with Vertex AI Gemini and BigQuery, and implemented production-grade RAG architectures using LangChain and Vertex AI Vector Search.
Education
Degrees, certifications, and relevant coursework
Visvesvaraya Technological University
Bachelor of Engineering, Civil Engineering
Bachelor of Engineering in Civil Engineering from Visvesvaraya Technological University, completed in 2019.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Skills
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