
Creative and empathetic technology leader and data architect with expertise in designing and scaling cloud-native data platforms in financial services and enterprise environments. Proven success in modernizing legacy systems and architecting governed data ecosystems, delivering high-performance solutions on AWS and GCP. Recognized for translating complex business requirements into scalable architectures and fostering engineering excellence through mentorship and collaboration.
Data technologies: SQL, Hive, Impala, Presto
Distributed data processing: Apache Spark, PySpark
Data warehousing: Snowflake, Databricks, DBT
Data orchestration: Apache Airflow
Cloud platforms: AWS, Google Cloud Platform (GCP)
Machine learning: Scikit, Spark MLlib
AWS services: EC2, EKS, AWS Lambda
Programming languages: Java, Python
Testing and quality engineering: JUnit, Mockito
Engineering practices: Agile development, Kanban methodology
Collaboration tools: Confluence
• Defined enterprise data platform strategies aligning cloud architecture with commercial and regulatory
objectives.
• Established engineering standards and reusable reference architectures across engagements.
• Led distributed onshore and offshore teams and institutionalized architectural review practices.
• Drove cost optimization initiatives across cloud ecosystems through performance tuning and monitoring automation.
• Influenced executive stakeholders across Risk, Compliance, Product, and Infrastructure.