Available to hire
I’m a Senior Data Engineer with 6+ years of experience designing enterprise-scale data platforms, leading cloud migrations, and optimizing infrastructure for performance and reliability.
I’ve delivered measurable business impact, including multi-thousand-dollar daily cost savings and up to 135x performance improvements, and I’m currently managing data infrastructure serving 20,000+ external clients.
Skills
Experience Level
Expert
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Language
English
Fluent
Work Experience
Senior Data Engineer at Verve
January 1, 2025 - November 22, 2025Led complete data infrastructure rebuild achieving $3,500 daily cost savings while migrating 30+ critical business dashboards from Vertica to BigQuery; reduced median query time from 90 seconds to 9 seconds and P95 query time from 7 minutes to 90 seconds; engineered robust data systems managing 1,000+ scheduled reports with 99.9% reliability and 100+ monthly ad-hoc requests with automated prioritization; reduced data incidents by 50% through improved cross-functional collaboration and established data quality standards; currently leading development of Unified Reporting API platform designed to serve 20,000+ external clients with sub-second response times and horizontal scalability for 10x growth.
Associate Principal Data Engineer at Aptos Labs
January 1, 2025 - January 1, 2025Single-handedly orchestrated complete migration from AWS Databricks to GCP Databricks including infrastructure setup and optimization; migrated 500+ data pipelines with zero business disruption achieving 30% cost reduction through optimized resource allocation; designed enterprise-grade ETL/ELT pipelines processing millions of records daily from Oracle DB to GCP Data Lake; integrated GA4, GA360, and Meta Ads into GCS-BigQuery-Looker stack for comprehensive marketing analytics; led migration from IBM Cognos to Looker developing 50+ optimized LookML models reducing report generation time by 75%; achieved 40% BigQuery billing reduction through table and view optimization initiatives; developed API-based data pipelines using Python microservices on Cloud Functions with event-driven architectures; right-sized GKE clusters saving $2,000 monthly while improving performance; owned Git repositories with full CI/CD implementation and provided technical mentorship to 5+ team members.
Senior Data Consultant at SKUAD (FIZE)
April 1, 2023 - April 1, 2023Designed high-throughput data pipelines on GCP using Dataflow processing 10M+ events daily; built comprehensive ETL framework with Python reducing data processing time by 60%; created executive dashboards in Looker integrating 15+ data sources for actionable business insights; implemented real-time event capture using Amplitude Analytics for technical event processing; automated insurance data processing from GCS to BigQuery handling 100,000+ policies.
Data Engineer at Clearwater Analytics
October 1, 2022 - October 1, 2022Established robust data integration framework supporting SFTP, Email, and SWIFT protocols; managed ETL pipelines processing $1B+ in daily financial transactions; developed 20+ Looker dashboards for C-suite decision support; implemented Agile methodologies improving team velocity by 40%; automated data ingestion workflows reducing manual effort by 80%.
Analyst at American Express
January 1, 2021 - January 1, 2021Conducted advanced fraud analysis identifying patterns in millions of transactions; developed predictive models with 95% accuracy for risk assessment; created regulatory compliance dashboards meeting SOX requirements; performed root cause analysis preventing $500,000+ in potential losses; translated complex technical information for non-technical stakeholders.
Associate Analyst at Vaco Binary Semantics
December 1, 2019 - December 1, 2019Managed strategic partnership integration with Reserve Google platform; conducted comprehensive merchant mapping research and analysis; resolved critical client escalations within 24-hour SLA; automated weekly reporting processes using Power BI.
Technical Executive at Rural Spark Pvt Ltd
March 1, 2019 - March 1, 2019Analyzed transactional patterns for fraud detection and prevention; developed business intelligence reports and dashboards; implemented process improvements reducing processing time by 30%; communicated technical insights to diverse stakeholder audiences.
Education
Qualifications
Bachelor of Technology
January 11, 2030 - January 1, 2015Python for Data Analysis - American Express
January 1, 2020 - November 22, 2025Data Analysis Internship - KPMG
January 1, 2021 - November 22, 2025SQL Badge - HackerRank
January 11, 2030 - November 22, 2025Industry Experience
Software & Internet, Financial Services, Professional Services, Media & Entertainment, Other
Skills
Experience Level
Expert
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