● Collaborated across three teams (Carrier Experience, Shipper Experience, Data Integration) to drive project success and enhance overall system performance.

● Developed RESTful APIs for Port of Load/Discharge filters, enhancing user experience and processing time.

● Integrated a PostgreSQL database with microservices architecture, enabling cross-environment functionality and improving data consistency.

● Automated data synchronization between Amplitude and Vitally using Python and AWS Lambda, resulting in improved user data insights.

● Engineered Contracts 2.0 to replace an outdated microservice, significantly improving system scalability and performance. Utilized Java, PostgreSQL, Spring, Hibernate, JUnit, Mockito, Docker, and Kafka.

● Integrated Slack into the application, enabling analysts to efficiently upload contract files and receive automated responses, reducing manual processing time.

● Developed new RESTful API endpoints, entities, and permissions, ensuring robust security and functionality.

● Wrote comprehensive unit and integration tests to guarantee code quality and system stability.

● Implemented versioning for Contracts 2.0, ensuring backward compatibility with legacy contract versions and facilitating a seamless migration for existing users.

● Hired project team members requiring review of over 800 resumes, selecting interview candidates, contributed to hiring decisions for the project team.

● Developed a C# parser for Bloomberg RUNZ/AXE files, standardizing trade pricing data across multiple formats for further processing.

● Identified and resolved critical bugs in the order and execution management system, enhancing reliability and user satisfaction.

● Designed and implemented a C# simulation program for 3rd-party energy trading platforms, facilitating off-hours testing of system interfaces.

● Engineered a Java-based framework to automate the processing, loading, and normalization of client files in multiple formats, significantly reducing manual effort and ensuring consistent data handling across systems

● Investigated and resolved performance issues in a legacy C# application that integrated QuickBooks with an Oracle database, streamlining claims tracking and improving payout accuracy.

● Collaborated with data analysts to identify and resolve inefficiencies in the data request process, optimizing SQL-based cron jobs and Python scripts, resulting in improved data accuracy and faster reporting cycles.

● Enhanced and maintained a Java-based web scraping solution that collected court case data from pacer.gov and RSS feeds, storing results in a JSON format for further analysis.

● Created an efficient Node.js script to parse PDF court documents and extract key data, automating document review and enhancing data accessibility.

● Developed a robust reporting platform in Java (Spring, Hibernate) that processes accounts receivable data and generates detailed client collateral valuation reports, supporting daily, weekly, and monthly financial analysis.

● Integrated and validated client data into MySQL/SQL databases, creating automated error reports to ensure compliance with receivables criteria and improve data integrity.

● Diagnosed and resolved data discrepancies in receivables reports, providing critical support for financial analysts, auditors, and clients through accurate and timely reporting.

● Designed and implemented a modular reporting framework, significantly improving code reuse, reducing maintenance costs, and streamlining client-specific customizations.

● Optimized and maintained database archiving processes, enhancing data retrieval efficiency and compliance with storage policies.

● Automated the creation of Salesforce Accounts and Contacts from spreadsheets, eliminating manual data entry and reducing processing time by 50%.