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Chaudhari Keval

@chaudharikeval

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Senior data engineer with 6+ years building scalable cloud data platforms and real-time pipelines.

Canada

Message

What I'm looking for

I’m looking to lead secure, reliable, and cost-optimized cloud data engineering—building real-time pipelines, modern warehouses/lakehouses, and GenAI-ready datasets—while partnering with engineers and stakeholders to deliver governed analytics and ML solutions.

I’m a Senior Data Engineer with 6+ years designing and implementing scalable cloud-based data platforms across AWS, GCP, and Azure. I deliver high-performance ETL/ELT, real-time streaming solutions, and enterprise data warehouse architectures with strong governance and reliability.

In my recent work at EY, I’ve built data lake and data warehouse architectures and developed cloud-native ingestion frameworks for near real-time analytics. I’ve implemented orchestration with Apache Airflow and workflow automation, and optimized performance in Redshift, Athena, Snowflake, and related querying to reduce execution time and cloud cost.

I also bring deep experience integrating AI/ML and MLOps pipelines—using SageMaker, MLflow, Feature Store, Docker, Kubernetes, CI/CD, and Terraform—and creating GenAI-ready data pipelines with AWS Bedrock, vector databases, and OpenSearch. Earlier roles included designing ETL/data warehousing solutions and supporting reporting and analytics through strong SQL, data modeling, and data governance practices.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Jan 2024 - Present (2 years 6 months)

Designed and implemented scalable cloud data lake and data warehouse architectures on AWS, building high-performance batch and streaming ETL/ELT pipelines for financial analytics. Led streaming ingestion and orchestration, implemented data governance and security, and supported MLOps/GenAI-ready pipelines using AWS services.

Data Engineer

BMW

Feb 2020 - Dec 2023 (3 years 10 months)

Designed and developed scalable Azure-based data pipelines using Azure Data Factory, SSIS, and T-SQL to ingest, transform, and load structured and unstructured data into enterprise analytics systems. Built and optimized ETL workflows, developed data models for reporting, and implemented monitoring, security (Azure AD/RBAC), and operational documentation to support reliable data availability.

Data Analyst

Cognizant

Aug 2019 - Feb 2020 (6 months)

Built and maintained batch and real-time ETL pipelines using Informatica PowerCenter, SSIS, and scripting to support enterprise reporting and analytics. Developed data warehouse structures and optimized database performance through SQL, PL/SQL, dimensional modeling, and query tuning while providing scheduling/production support and data quality governance.