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Hi, I'm Chaitanya Vardhan, a results-driven Azure Data Engineer with 6+ years of experience designing and operating enterprise-grade Big Data solutions. I specialize in Azure data platforms, data warehousing, and real-time analytics, delivering scalable solutions for financial and healthcare industries. I like turning complex data into actionable insights using Snowflake, Synapse, Databricks, and streaming technologies. I enjoy mentoring junior engineers, implementing IaC with Terraform, building CI/CD pipelines, and ensuring data security and regulatory compliance (HIPAA, IFRS 17). When I'm not coding, I love collaborating with cross-functional teams to drive data-driven decision making and continuous improvement.…Hi, I'm Chaitanya Vardhan, a results-driven Azure Data Engineer with 6+ years of experience designing and operating enterprise-grade Big Data solutions. I specialize in Azure data platforms, data warehousing, and real-time analytics, delivering scalable solutions for financial and healthcare industries. I like turning complex data into actionable insights using Snowflake, Synapse, Databricks, and streaming technologies. I enjoy mentoring junior engineers, implementing IaC with Terraform, building CI/CD pipelines, and ensuring data security and regulatory compliance (HIPAA, IFRS 17). When I'm not coding, I love collaborating with cross-functional teams to drive data-driven decision making and continuous improvement.

Chaitanya Vardhan

Cloud Developer, Data Scientist, Full Stack Developer, +2

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Hi, I'm Chaitanya Vardhan, a results-driven Azure Data Engineer with 6+ years of experience designing and operating enterprise-grade Big Data solutions. I specialize in Azure data platforms, data warehousing, and real-time analytics, delivering scalable solutions for financial and healthcare industries. I like turning complex data into actionable insights using Snowflake, Synapse, Databricks, and streaming technologies. I enjoy mentoring junior engineers, implementing IaC with Terraform, building CI/CD pipelines, and ensuring data security and regulatory compliance (HIPAA, IFRS 17). When I'm not coding, I love collaborating with cross-functional teams to drive data-driven decision making and continuous improvement.…Hi, I'm Chaitanya Vardhan, a results-driven Azure Data Engineer with 6+ years of experience designing and operating enterprise-grade Big Data solutions. I specialize in Azure data platforms, data warehousing, and real-time analytics, delivering scalable solutions for financial and healthcare industries. I like turning complex data into actionable insights using Snowflake, Synapse, Databricks, and streaming technologies. I enjoy mentoring junior engineers, implementing IaC with Terraform, building CI/CD pipelines, and ensuring data security and regulatory compliance (HIPAA, IFRS 17). When I'm not coding, I love collaborating with cross-functional teams to drive data-driven decision making and continuous improvement.

Available to hire

Hi, I’m Chaitanya Vardhan, a results-driven Azure Data Engineer with 6+ years of experience designing and operating enterprise-grade Big Data solutions. I specialize in Azure data platforms, data warehousing, and real-time analytics, delivering scalable solutions for financial and healthcare industries. I like turning complex data into actionable insights using Snowflake, Synapse, Databricks, and streaming technologies.

I enjoy mentoring junior engineers, implementing IaC with Terraform, building CI/CD pipelines, and ensuring data security and regulatory compliance (HIPAA, IFRS 17). When I’m not coding, I love collaborating with cross-functional teams to drive data-driven decision making and continuous improvement.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Language

English

Fluent

Work Experience

Azure Data Engineer at Rogers

August 1, 2024 - November 5, 2025

Migrated legacy insurance claims and policy management systems to Azure Synapse and Snowflake, improving distributed processing efficiency and automating infrastructure provisioning with Terraform to ensure compliance with HIPAA, SOC 2, and IFRS 17 standards. Mentored junior engineers on distributed insurance data systems, real-time claims processing pipeline optimization, and regulatory reporting standards like IFRS 17, Solvency II, NAIC, and GAAP. Architected scalable data pipelines using Azure Data Factory, Azure Databricks, and Synapse Analytics to process and analyze large-scale policyholder transactions, premium calculations, and underwriting risk models efficiently. Developed and optimized Azure-based data pipelines, enabling high-performance ETL processes for large-scale enterprise data solutions.

Azure Data Engineer at TCS

December 1, 2022 - December 1, 2022

Designed and developed ETL pipelines to facilitate seamless data movement between diverse data sources and data warehouses. Managed database connections across MS SQL Server, MySQL, PostgreSQL, Oracle, and Teradata. Built Databricks notebooks to extract data from DB2 and Teradata using T-SQL and U-SQL, performing data cleansing, wrangling, ETL processing, and loading into Azure SQL Data Warehouse. Migrated on-premise Oracle ETL processes to Azure Synapse Analytics, ensuring smooth data movement across the Azure ecosystem. Implemented SSIS packages, PySpark jobs, Python scripting for data validation, and established CI/CD practices for data workloads using Azure DevOps, Jenkins, and GitHub Actions. Created Snowflake pipelines and stages to ingest data from AWS S3 and on-premises sources; scheduled and managed end-to-end data pipelines with Airflow.

Data Engineer at CGI

September 1, 2021 - September 1, 2021

Collaborated with healthcare administrators, medical informatics teams, and compliance officers to gather data integration requirements, ensuring adherence to HIPAA, HL7, and FHIR standards. Designed scalable Azure cloud architectures integrating Azure Data Lake, Event Hubs, and Cosmos DB for high-volume, real-time data processing and analytics. Developed workflows on AWS Glue and Amazon EMR using Spark SQL and Amazon Athena for handling patient records, prescriptions, and treatment plans. Engineered automated ETL pipelines to integrate claims processing and billing data with external systems; optimized clinical datasets using partitioning and external tables in Amazon Athena and EMR. Implemented real-time telemetry and hospital data pipelines, log ingestion, and governance frameworks to support regulatory audits.