Cloud Data Engineer - Snowflake & Azure Expert - 5+ Years Experience

UDDHEEP CHANDRA

USA (Open to Relocation) +1-763-***-**** ********@*****.*** Linkedin

PROFESSIONAL SUMMARY

Results-driven Cloud Data Engineer with 5+ years of experience designing, optimizing, and securing large-scale ETL, data lakehouse, and analytics solutions across finance and healthcare. Expert in Snowflake, Azure Data Factory, Databricks, Apache Spark, and Python, with multi-cloud expertise in AWS, Azure, and GCP. Proven track record in data modeling, governance, cost optimization, cloud security, and CI/CD automation. Adept at delivering measurable performance improvements and ensuring regulatory compliance. TECHNICAL SKILLS

Programming & Scripting: Python (Pandas, NumPy), SQL (T-SQL, Spark SQL), PySpark, Bash Cloud Platforms: AWS (S3, Redshift, EMR, Lambda, IAM, VPC, CloudWatch), Azure (ADF, Synapse, Blob Storage), GCP (BigQuery, Composer)

Data Warehousing: Snowflake, Redshift, BigQuery, Synapse, SQL Server, PostgreSQL, MongoDB ETL & Orchestration: Airflow, AWS Glue, dbt, Talend, Informatica, ADF Big Data & Streaming: Spark, Kafka, Hadoop, Kinesis Security & Governance: IAM, encryption, audit logging, Great Expectations, Deequ Cost Optimization: Spot instances, reserved capacity, data pruning Visualization: Power BI, Tableau, Looker

DevOps & CI/CD: GitHub Actions, Jenkins, Docker, Terraform (basic) PROFESSIONAL EXPERIENCE

American Express – Snowflake Data Engineer Jan 2025 – Present

• Designed and deployed scalable ETL pipelines using Azure Data Factory, Databricks, and Snowflake to process 5TB+ financial data daily with 99.9% reliability, meeting enterprise performance and security standards.

• Modeled datasets in Snowflake and Hive, reducing redundancy and improving query performance by 20%, accelerating analytics for finance teams.

• Automated complex data workflows by integrating Python, PySpark, and Docker containerization, reducing manual intervention by 35%, enhancing maintainability, and improving long-term pipeline scalability.

• Engineered secure, high-throughput Kafka ingestion pipelines configured with SSL/Kerberos authentication, ensuring real-time data streaming in compliance with stringent financial regulatory requirements.

• Delivered interactive Tableau dashboards with drill-down analytics, improving executive reporting speed by 25%.

• Optimized SQL queries and stored procedures, reducing reporting latency by 30% and increasing throughput by 40%. Bank of America – Azure Data Engineer Jan 2020 – Dec 2023

• Built cloud-native pipelines with Azure Data Factory, Databricks, and Apache Airflow, cutting ETL latency by 28% and improving SLA compliance by 15%.

• Architected and implemented seamless integrations between on-premises databases (MySQL, PostgreSQL, Cassandra) and Azure Synapse, enabling enterprise-wide unified analytics for business intelligence teams.

• Developed high-volume ingestion frameworks using Apache Spark, Hive, and Sqoop to support analytics for over 1 billion records, ensuring scalable, fault-tolerant performance in production environments.

• Streamlined CI/CD processes through Azure DevOps, reducing release cycles by 50%, improving deployment reliability, and aligning with agile software delivery practices.

• Delivered comprehensive KPI dashboards in Power BI and Tableau, enabling senior stakeholders to access near real-time metrics, accelerating insight generation by 30%.

Cigna – Jr. Data Engineer Aug 2018 – Dec 2019

• Designed and implemented Spark applications in Azure Databricks to perform large-scale data transformation and aggregation, supporting key healthcare analytics initiatives and compliance reporting.

• Created metadata-driven ETL pipelines in Azure Data Factory integrated with Snowflake, improving scalability, automating transformations, and reducing long-term maintenance overhead.

• Configured and deployed Kafka streaming solutions to ingest IoT telemetry into Spark clusters at 5-minute intervals, enabling proactive monitoring and operational alerting.

• Developed data visualization and analytics solutions using Power BI, Python, and SQL to track KPIs, enhance reporting accuracy, and support compliance with healthcare regulations. EDUCATION

M.S. Information Technology Management – Concordia University, St. Paul, MN, USA Jan 2024 - May 2025 B.Tech. Engineering – JNTUK, Kakinada, India April 2013 - May 2017 CERTIFICATION

Microsoft Certified: Azure Data Engineer Associate Expected: AWS Certified Data Engineer – Associate (DEA-C01), September 2025

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