Data Engineer- Manager

I own enterprise data architecture strategy for multi-terabyte customer interaction datasets, defining data lake and lakehouse patterns that support LLM, generative AI, real-time personalization, and global analytics initiatives.

I lead a team of 11 data engineers across architecture definition, sprint planning, code reviews, mentoring, and platform delivery. I architect cloud-native ELT platforms centered on BigQuery with Snowflake, Snowpipe, Streams, dbt, Airflow, Python, and SQL.

I design Kimball and Data Vault models, implement governance, lineage, monitoring, IAM, and encryption practices, and partner with Analytics, Product, and GTM teams on self-service data warehouses and dashboards. I also drive Terraform-aligned Infrastructure as Code and CI/CD adoption.

I designed enterprise-scale data platform architecture for high-volume healthcare transaction processing and near-real-time analytics. I built scalable ETL and ELT pipelines using Python, SQL, Spark, Hive, HDFS, Airflow, and cloud-native data lake patterns.

I led modernization of legacy Hadoop workloads by migrating Hive and HDFS datasets to cloud-native analytical architectures. I optimized distributed processing and query performance, developed API-based integration frameworks, and established Terraform and CI/CD practices.

I collaborated with data science teams to deliver production-ready feature engineering datasets for machine learning models.

I developed distributed backend data services and streaming architectures for financial trading experimentation platforms on AWS. I built real-time ingestion pipelines using Kafka, Spark, Hive, HDFS, Lambda, and DynamoDB.

I supported migration of legacy Hadoop datasets into cloud-native analytical environments, improving scalability and operational efficiency. I partnered with analytics and product teams to define KPIs and improve governed data availability.

I also automated end-to-end data quality and regression testing frameworks to ensure reliable experimentation outcomes.

I built and maintained internal financial data platforms used by analysts and risk managers for credit ratings, compliance, and reporting. I developed ETL pipelines and automated data validation workflows using Python, SQL Server, and shell scripting.

I created SQL-based dashboards for executive credit insights and portfolio analytics, and worked with global data teams to streamline ingestion and transformation of structured and unstructured financial data.

I supported modernization of legacy analytics services and contributed to governance, security, documentation, and regulatory compliance initiatives.

Bachelor of Science in Computer Engineering.