Led a 10-person cross-functional team to achieve 100% NYDFS PII compliance and eliminate regulatory risk. Designed, built, and product-ionized multi-quarter Feedback Loop processing 1M+ records across 1000+ data tables daily; established the data organization's de facto internal governance infrastructure with estimated cost savings of more than $1 million per annum.

Performance tested and migrated team DBs from on-premises to Azure cloud : obtained 10% time reduction in analytical queries.

Conducted 65 dedicated 1:1 hour mock and mentorship sessions for software engineers targeting FAANG across levels - new, intermediate, and experienced. I specialize in data structures, data engineering, machine learning, and system design.

Persistent high satisfaction rate and consistently delivers actionable feedback empowering candidates to identify blindspots and growth areas.

Engaged in cross-functional ( XFN ) collaborations with product, design, and stakeholders on long-term projects : developed features and integrations to onboard 5 internal teams and 15 business workflows.

Addressed automation gap : developed rules engine processing +1M events /day resulting in per annum savings of $100K AWS cloud spend and 500 manual effort hours.

Shipped first MVP to production.

Expanded unit test coverage to meet Enterprise 80% coverage requirement.

On-boarded the first customer - SCAN team : wrote GoLang microservices to orchestrate their B2C workflows.

Researched and wrote the first disaster recovery objective plans to meet AWS cloud resiliency expectations.

Mentored 2 junior engineers on cloud disaster recovery, requirements gathering, unit testing and coding best practices.

Spearheaded refactoring and architectural redesigns to enable inner sourcing capabilities, onboard internal customers, and increase user base.

Maintained, developed, and triaged microservices to tackle business problems. Refined distributed tracing , service observability, and service health checks.

Reduced E2E requests latency to less than 1 second ; empowered key advertisers to retrieve reports.

Met 100% customer migration and feature parity to the latest Analytics product by adding query capabilities.

Obtained a 20% increase in report retrieval by replacing the once-only analytics report retry with exponential backoff.

Refactored 10K+ lines of code; delivered a C++ feature to auto-update report test requests and responses.

Wrote the first offline traffic mode for GA servers and noticed a reduction in costs, resources, and hardware footprint.

Product-ionized, deployed, and end-to-end tested message flows for financial systems.

Ensured enterprise infrastructure met SLAs by triaging and fixing performance regressions and network delays.

Generated analytics reports and visuals of traffic for network engineers to certify release deployments.