Ramana Rao Ambore.

Modernizing Fidelity's firm-wide billing platform — the mission-critical engine that computes and reconciles advisory, custody, brokerage, and retirement fees across millions of client accounts and billions of transactions annually. Re-architecting legacy overnight batch billing into a cloud-native, event-driven distributed platform on AWS and Snowflake with strict SEC/FINRA regulatory compliance, full audit traceability, and near-real-time fee visibility. Replacing monolithic batch jobs with horizontally-scalable Lambda and Step Function workflows that complete a fraction of legacy runtime.

Led cloud modernization of a high-volume, business-critical legacy transmission platform at Fidelity Investments — migrating from mainframe batch to AWS using Java, Spring Boot, and Spark. Designed and built a reusable core framework that cut development and deployment turnaround by 50%, processed high-volume financial transmission files with complex data transformation and validation, and ensured byte-level parity with legacy mainframe output.

Built Rambo — a Python/Streamlit dependency-analytics platform used by Fidelity engineering teams to map, visualize, and rationalize thousands of mainframe batch artifacts. Modeled artifact dependencies as NetworkX graphs, enabling teams to trace data lineage, identify dead code, and systematically decommission ~3,000 redundant batch jobs. Delivered significant cost savings in legacy maintenance and laid the groundwork for the subsequent Cobra COBOL analysis tool.

Led development of Cobra — a COBOL research and analysis ecosystem for deep legacy modernization. Built a high-performance parsing engine that performs lexical and syntax analysis, constructs an Abstract Syntax Tree (AST), and tracks full data lineage across millions of lines of COBOL code — identifying field origin, transformation paths, and inter-program dependencies. Directly enabled the VSAM-to-DB2 migration program that won the NTT Delivery Excellence Award for Innovation.

Replaced static mainframe batch scheduling with event-driven, CICS-driven dynamic job submission — COBOL programs that monitor internal CICS transactions and dynamically generate and submit JCL in near-real time. Eliminated manual schedule maintenance, reduced missed-job incidents, and enabled sub-minute response to upstream data events across Fidelity's high-volume financial processing environment.

Led the Meta Data Services Group at iNautix, providing offshore support to Pershing for capturing, storing, and presenting mainframe metadata.

Implemented the DBS E-series financial system and developed the Internal Funds system for Dade County Public Schools. The project is to install, customize and implement DBS E-series packages for Dade County Public Schools. The project also involved developing Internal Funds systems and integrating it with DBS E-Series packages

Developed and implemented the Ryder On-line Analytical Decision (ROAD) System to support repair shop operations. Ryder On-line Analytical Decision (ROAD) Support System helps in calculating the average number repair hours at the repair shops. The system generates productivity reports and helps in estimating the manpower requirements at various Ryder repair shops

Dun & Bradstreet E-series Government is a suit of mainframe financial packages used by Fortune 500 companies with DB2 as the database management system. The project is to implement the new release of the package that is year 2000 compliant. Worked as a team member to build Design Document for Year 2000 changes and product enhancements for the new release of Purchasing System (PS) Module of DBS E-series products.