As a professional with a rich background in Data Engineering, I've empowered over 20 clients with tailored BI analytics solutions. My expertise lies in crafting ETL pipelines that are the backbone of these BI dashboards.
Experience
2024 — Now
2024 — Now
New York, United States
* Enhanced CI/CD pipelines by improving integration and canary testing, and refactoring CloudWatch metrics and alarms for faster, more reliable deployments.
* Served as on-call engineer to diagnose and mitigate production issues, driving service stability and improving incident response time.
* Led cross-team design and migration of an advertising pricing API, reducing service latency from p99 4000 ms to 800 ms while improving ownership and system modularity.
* Designed and implemented a fee-waiver feature enabling $1.5 MM in new ARR for preferred deal pricing.
2023 — 2023
Boston, Massachusetts, United States
* Collaborated with a team of software engineers to design and deliver infrastructure supporting integration testing for MacOS clients mounting NFS file shares on the AWS File Gateway
* Engineered a Java and Python-based serverless integration testing suite by leveraging core AWS Services such as EC2, S3, Storage Gateway, CloudFormation, and AWS License Manager, demonstrating adaptability and proficiency in cloud-based solutions.
* Performed in-depth performance analysis of macOS clients, translating data into actionable insights to shape customer-centric product enhancements and drive continuous improvement in the File Gateway service offerings.
2022 — 2022
2022 — 2022
* Collaborated with the lead professor to identify and implement course improvements based on student feedback and performance analytics.
* Reviewed and graded assignments, projects, and exams for a class of 30 students, providing detailed feedback to students to find areas of improvement in their Java programming.
* Guided students through hands-on exercises and projects focused on Java's OOP paradigms such as inheritance, polymorphism, and encapsulation.
2020 — 2022
2020 — 2022
San Francisco Bay Area
* Designed and implemented ETL pipelines using SQL, Python, and Ruby, ingesting data from diverse sources (CSV, JSON, SQL DBs, Snowflake) for enhanced BI analytics.
* Engineered data structures using dimensional data modeling techniques, optimizing data loading and storage for Vertica systems.
* Developed terminal applications to automate the creation of proof-of-concept domains, resulting in a 90% reduction in deployment timelines.
* Authored comprehensive technical documentation, enriching the platform's knowledge base for end-users and ensuring effective onboarding and troubleshooting.
* Led platform demos for potential clients, highlighting key features and addressing technical inquiries to drive engagement and adoption.
* Collaborated directly with clients to capture analytics requirements, ensuring a consistent and accurate development plan tailored to client needs.
2017 — 2020
2017 — 2020
Greater Boston Area
* Designed and implemented scalable software solutions for deployment across client servers, reducing implementation timelines by up to 30% and improving analytics performance by up to 15%.
* Developed a robust validation and data-matching system for healthcare analytics, enhancing data accuracy and reliability.
* Collaborated in the design of scalable data models, meeting diverse client needs for data warehousing and analytics.
* Managed key database operations, enhancing backup/restoration processes, optimizing compression, and scheduling T-SQL jobs.
* Refactored legacy T-SQL scripts, achieving up to a 20% boost in performance for processing extensive data sets.
* Collaborated in customer implementation strategy, analyzing client requirements to identify and address gaps, ensuring on-time project deployments.
* Upheld high code standards through active participation in 100+ code reviews, ensuring consistent build stability from QA to Production deployments.
Education
Northeastern University
Master of Science - MS
Cornell University