Headline

Data Engineer at Conga | Snowflake · Matillion · Azure · Python | ETL & ELT Pipelines | Cloud Data Warehousing | ML-Ready Data Infrastructure | Building Scalable Data Platforms for AI-Driven Products

About

Data Engineer with 2+ years building production-grade data pipelines, cloud data warehouses, and AI-integrated data platforms in the IT industry. I specialize in end-to-end data engineering from raw ingestion to analytics-ready models across Snowflake, Matillion, Azure, and on-premise SQL Server environments. My work bridges traditional ETL with modern LLM and ML infrastructure, enabling teams to move from raw data to business decisions faster. What I've shipped: → Multi-layered ETL/ELT pipelines (staging → EDW → data marts) integrating REST APIs, flat files, and databases into Snowflake → LLM-powered analytics assistant using Snowflake Cortex + Streamlit, containerized with Docker and deployed on Azure → Multi-agent AI system (Copilot Studio) with OAuth 2.0 / Microsoft Entra ID for secure service-to-service data access → Batch inference and MLOps retraining pipelines using Matillion + Snowflake → Power BI dashboards serving 50+ users, built on star-schema data models with optimized DAX Core stack: Python · SQL · Snowflake · Matillion · Azure (ADF, Blob Storage) · Docker · REST APIs · Power BI I care about data reliability, pipeline scalability, and writing SQL that a teammate can actually maintain. If you're building a data platform that needs to support AI/ML workloads at scale, let's connect!

Location

Vadodara

AI stack

antigravity

claude code

gemini

github copilot

openai

Work experience

Developer at Conga, Jul 2026 - Present · 5 mos

Associate Developer at Conga, Jul 2024 - Jul 2026 · 2 yrs 1 mo, Designed and delivered production ETL/ELT pipelines integrating 10+ REST APIs, relational databases, and flat files into Snowflake using Matillion enabling a multi-layered data architecture across staging, EDW, and data mart layers. • Built Python-based API integrations with OAuth 2.0 authentication, handling pagination and high-volume data ingestion for reliable, scalable loads. • Implemented reusable Matillion pipeline components, reducing development time for new integrations and improving maintainability. • Authored complex SQL transformations for data cleansing, deduplication, and business-rule enforcement across Snowflake layers. • Bridged on-premise SQL Server and cloud Snowflake environments, enabling hybrid data flows for business-critical workloads. • Enforced data quality checkpoints within pipeline stages to catch schema drift and NULL anomalies before they reached reporting layers.

Project Trainee at Conga, Jan 2024 - Jul 2024 · 7 mos, Ahmedabad, Gujarat, India

SAP Trainee at SAP, Aug 2022 - May 2023 · 10 mos, Vadodara, Gujarat, India

Senior Placement Coordinator at Parul University, Dec 2021 - Apr 2024 · 2 yrs 5 mos

Education

Bachelor of Technology - BTech, Computer Science and Engineering with specialization in AI, Parul University