Siddhartha M.

About Siddhartha M.

Data doesn’t lie but fragmented, siloed data does nothing.The real work: building pipelines, intelligence layers, and analytics engines that turn raw chaos into decisions that matter.8+ years across financial services and telecom at the intersection of two high-stakes domains where data engineering isn’t about moving records. It’s about detecting financial crime, retaining subscribers, and outsmarting churn. At Bank of America (current), engineering Teradata-based ETL pipelines for the Global Financial Crimes (GFC) team in an Agile environment modernizing AML data infrastructure underpinning Anti-Money Laundering surveillance, KYC, CDD, and transaction monitoring at enterprise scale. At Charter Communications, core contributor to the Location Intelligence platform that powered B2B and B2C telecom marketing from precision geocoding and address intelligence to Kafka-driven billing pipelines (CSG Biller · ICOMS) and in-database fuzzy matching engines built on Levenshtein Distance and Jaro-Winkler. Data sources spanned D&B, InfoUSA, Allant, Google Business, and third-party enrichment partners. At Wells Fargo, contributed to Hadoop-based data integration for the Wholesale Lending division - building scalable ETL workflows across Hive, MapR, and HBase to support risk management and portfolio analytics. Core strengths:→ End-to-end pipeline ownership - design, build, monitor, support→ Teradata · BTEQ · T-SQL · PySpark · Python · AWS Redshift · Hadoop · Kafka→ Financial: AML · KYC · CDD · FinCrime · Regulatory Compliance · AutoSys→ Telecom: Churn Analytics · ARPU · Subscriber Acquisition · Geospatial · B2B/B2C Charlotte, NC · Open to Senior/Staff Data Engineer roles in financial services, telecom, or data-intensive industries. H1B Visa holder

Experience

1. Teradata Developer

   Bank of America

   Apr 2025 — Present · Charlotte, NC, US

   Currently working as a Teradata Developer on Bank of America’s Global Financial Crimes (GFC) team, supporting enterprise-level Anti-Money Laundering (AML) data modernization efforts.I contribute to the migration of legacy AML data pipelines into the centralized GFC domain, enabling enhanced surveillance, investigation, and reporting capabilities. My work focuses on building and optimizing Teradata-based ETL processes, performing source-to-target mapping, ensuring data quality, and implementing AutoSys schedules for robust, reliable delivery.In this Agile setting, I collaborate with analysts and data engineers to align technical delivery with regulatory priorities—specifically around Customer Due Diligence (CDD), Know Your Customer (KYC), and transaction monitoring rules.Currently in the early phases of onboarding, I’m actively deepening my understanding of AML data flows, suspicious activity patterns, and compliance triggers while ensuring my code is production-grade, auditable, and performance-tuned.Impact: Supporting a future-ready AML data platform that underpins the bank’s ability to detect financial crime with speed, accuracy, and regulatory confidence.

Education

• University of Illinois Springfield

  Master of Science - MS, Computer Science

  2015 — 2016

• Jawaharlal Nehru Technological University, Hyderabad

  Master of Technology - MTech, Nanotechnology

• Malla Reddy (MR) Deemed to be University

  Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering

  2007 — 2011