Senior BI Engineer Data & Finance Automation

Vipul Verma

682-***-**** *****.*******@*****.*** linkedin.com/in/vipulverma06

PROFESSIONAL SUMMARY

Results-driven Business Intelligence Engineer with 10+ years of experience designing data pipelines, building BI dashboards, and delivering actionable insights across Fortune 500 companies including PayPal and Verizon. Deep expertise in ETL development, dimensional modeling, data warehousing, and visualization tools including Tableau, QlikView, and Oracle OLAP. Proven ability to bridge technical data engineering with business stakeholder needs, delivering SOX-compliant, high-accuracy financial reporting systems at scale. TECHNICAL SKILLS

BI & Visualization: Tableau, QlikView, Oracle OLAP, VZAI, MS Excel (Advanced) Data Engineering & ETL: Informatica PowerCenter, Alteryx, Pipeline Automation, Data Modeling

(ER/Dimensional), Data Warehousing (EDW), Data Governance Databases & Platforms: SAP HANA, Teradata (MLoad, FLoad, TPT, BTEQ), BigQuery (GCP), Hadoop (Hive, Spark, Sqoop, HDFS, Oozie, Pig), Oracle, SQL Server Tools & Methodology: Agile/Scrum, Jira, GitHub (CI/CD), Unix/Shell Scripting, Python, HTML PROFESSIONAL EXPERIENCE

PayPal Inc Austin, Texas

Sr. Project Manager (Databases & Financial Systems) Jul 2023 – Mar 2026

• Financial Reconciliation Automation: Engineered advanced SAP HANA stored procedures to automate complex transaction reconciliations, ensuring 100% accuracy in netting inbound and outbound flows for PayPal's Global Accounting team — reducing manual stakeholder effort by 70%.

• Data Integrity & Compliance: Developed sophisticated business logic to monitor millions of daily financial transactions, proactively identifying and resolving discrepancies across diverse product lines to maintain SOX-compliant financial reporting.

• Process Optimization: Streamlined the month-end closing process by replacing manual verification with automated business rules, significantly reducing human error and accelerating financial data validation cycles.

• ETL Pipeline Engineering: Streamlined Xoom's transactional ETL pipelines using Alteryx, reducing processing latency and improving pipeline reliability by integrating disparate source data into PayPal's core ETL architecture (PFIT) — enabling faster, more resilient cross-product financial data ingestion.

• AI-Driven Automation: Served as key business stakeholder for PayPal's AI Transformation team, defining requirements for LLM-based automation of Stored Procedure generation, accelerating the development lifecycle for financial reconciliation tools.

Data Analyst Nov 2022 – May 2023

• Global Merchant Lending: Partnered with stakeholders on the Merchant Lending Data Platform to deliver PayPal loan products using Agile methodologies. Directed GML data governance to ensure integrity and resolved complex ad-hoc data issues via Teradata, BigQuery, and Tableau. Verizon (Infosys Limited) Richardson/Irving, Texas Technology Lead Aug 2019 – Oct 2022

• BI & Operational Analytics (FWA): Built end-to-end monitoring dashboards for Verizon FWA (C- Band/mmWave) tracking sales, cancel, and disconnect rates using QlikView. Analyzed Summary Fact tables to surface sales drivers and identified order fallout points across approval levels using Python and Teradata.

• Data Warehousing & ETL Engineering: Engineered robust ETL data pipelines for the Verizon Wireless EDW, automating data flow from source systems to the warehouse for enterprise reporting. Deployed high- volume scripts using Teradata utilities (MLoad, FLoad, TPT, BTEQ) with GitHub CI/CD version control.

• Digital Analytics & Dimensional Modeling: Engineered high-scale pipelines delivering Real-Time Customer Insights (RTCI) from Verizon e-commerce platforms to Hadoop and Teradata. Developed multidimensional models and reports enabling marketing teams to execute sales retargeting and optimize deflection costs.

Tata Consultancy Services Noida, India

Business Intelligence Developer Dec 2012 – Jun 2017

• ETL & Pricing Analytics: Engineered ETL pipelines using Informatica PowerCenter and Teradata to automate pricing analysis, delivering insights on invoice trends, inflation/deflation, and profit margins.

• Data Modeling: Architected an ER dataflow model for the Procurement-to-Pay cycle, reducing manual processing by 70% through streamlined data integration.

• Predictive BI & Dashboards: Developed a statistical model for Bad Debt Reserve prediction, cutting manual effort by 80%; designed Oracle OLAP dashboards to monitor KPIs and model performance for client business processes.

EDUCATION

University of Texas at Dallas Aug 2017 – May 2019

M.S., Business Analytics

Guru Gobind Singh IP University, India Aug 2008 – May 2012 B.Tech., Electronics and Communications

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