v
venky_mayara

Venkateswara M

@venky_mayara

Software Engineer

Indien
Englisch
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
I am a Software Engineer and Data Engineer with 4+ years of experience at Bank of America specializing in KYC, Wealth Management, AML, and Trust data platforms. I have designed and delivered batch ETL pipelines, Angular compliance UIs, and SQL Server reporting schemas that process millions of customer records from enterprise SORs.... Mehr lesen

Kompetenzen

v
venky_mayara
Venkateswara M
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Full-Stack-Webanwendungen
I will develop angular and spring boot web apps for enterprise data platforms
Ab30 $ / ProjektWeitere Details

Arbeitserfahrung

Bank_of America

Software Engineer

Bank of America • Vollzeit

Oct 2021 - Present • 4 yrs 7 mos

Developed Angular compliance UIs surfacing millions of KYC, CDD, and AML records from SORs, reducing analyst review time by 35%. Pioneered Node.js and Spring Boot RESTful API middleware, cutting API response latency by 40% across paginated SOR datasets. Optimized T-SQL Stored Procedures and Views in SQL Server for KYC reporting, reducing query execution time by 40%. Launched server-side pagination, column filtering, and Excel export on Angular data grids, cutting data retrieval time by 30%. Authored SSIS packages automating daily customer due diligence and verification record ingestion into SQL Server — achieving a 99.5% pipeline success rate. Integrated Spring Security and Angular route guards to enforce RBAC across 5+ user roles, securing private banking and KYC data and reducing unauthorized access incidents to zero in production. Championed Scrum ceremonies and code reviews, reducing production defects by 25% across quarterly releases. Migrated IBM DataStage KYC ETL pipelines to PySpark on Hadoop/IBM Cloud Pak, tripling batch throughput and cutting overhead by 40%. Deployed a Python code generation engine parsing IBM IIS XML exports into PySpark scripts — slashing 80% of hand-coded migration work. Engineered PySpark pipelines on HDFS for high-volume KYC and financial record ingestion, achieving 100% data fidelity vs. legacy outputs. Cut migration engineering time by 80% across 50+ ETL jobs, meeting all regulatory Hadoop transition deadlines ahead of schedule.