United States

Data Product Management

Data engineering

AI/ML Engineering

Tarakanath Paipuru

Senior Engineering Manager

Organisation skills

Python

Tableau

Airflow

ChatGPT

Databricks

Docker

Java

Led cross-functional teams to drive business growth, AI innovation, and cloud modernization for enterprise-scale clients in the financial services industry. Delivered measurable impact through strategic leadership, product delivery, and operational excellence.

Key Achievements:

💼 Delivered $5M+ in annual revenue by leading the design, development, and launch of Portfolio Navigator, a commercial banking SaaS platform for Data & Insights.

🤖 Accelerated AI adoption by designing and delivering Gen AI proof-of-concepts, including PriceGenieAI and IoT Agent, enabling clients to explore next-gen intelligent automation.

☁️ Modernized infrastructure by migrating legacy systems to AWS and Azure, implementing robust governance frameworks, and increasing engineering productivity by over 40%.

🔐 Achieved critical compliance milestones, including ISO27001:2013 and SOC2 Type 1 certifications, unlocking access to 10+ enterprise banking clients.

🤝 Built strategic partnerships with internal stakeholders and external vendors to scale innovation and enhance engineering resilience by over 20%.

💸 Drove cloud cost efficiency by leading FinOps initiatives in collaboration with the SRE team — including resource decommissioning and service right-sizing — achieving 30%+ sustained savings and improved cloud ROI.

- Modernized Large-Scale Data & Infrastructure: Created roadmaps, strategies, and technical designs to migrate on-prem analytics platforms to AWS, AWS Gov, and Azure—improving scalability, security, and operational efficiency.

- New Client Acquisitions & Onboarding: Contributed subject matter expertise in commercial banking data analytics, partnering with product sales to win 15+ new client engagements.

- Data Governance & Compliance: Collaborated with security and infrastructure teams to establish ISO 27002 and SOC 2 Type 1 best practices, fortifying data governance frameworks.

Founding Engineer | Treasury Sales Benchmark: Served as a key contributor in launching a flagship product, driving $1M+ in new revenue and showcasing strong innovation capabilities.

End-to-End Pipeline Development: Designed, reviewed, and automated scalable data pipelines (SQL, Python) to execute advanced pricing algorithms for advisory services, accelerating delivery to top banking clients.

Rackspace to AWS GovCloud Migration: Led a seamless transition of critical data and applications, enhancing performance, scalability, and federal compliance—improving customer satisfaction by 25%.

Proactive Data Validation & Dashboards: Built Tableau dashboards to detect and remediate data errors in real time, increasing productivity by 20% and reinforcing client trust.

Apache Airflow Orchestration:
Implemented and configured Apache Airflow on Linux, orchestrating hundreds of pipelines for improved automation and reliability.

Visualization Platform Ownership: Architected the deployment of 900+ Tableau dashboards to a custom wrapper (“Periscope”), supporting thousands of users across multiple financial institutions.

Client-Focused Implementations: Drove a data audit system rollout for “Repay,” handling sensitive PII securely and achieving a 40% boost in data reconciliation accuracy.

Tech Debt Reduction: Refactored and re-architected legacy pipelines, cutting execution times by 70% and improving data delivery accuracy by 30%—illustrating strong problem-solving and optimization skills.

Core team member in master data management project for Provider data for united healthcare to create physical golden records for multiple entities

Enhanced Costco’s Pharmacy 3NF data model, boosting application performance by 35% through efficient database design optimizing for inserts, updates and deletes.

Designed data models using sybase power designer for conflict minerals after interviewing data stewards,business owners and modeled for SCD type 2 dimensional tables

Designed ETL mappings based on source and target data models for multiple retail projects

Improved regulatory reporting accuracy and speed by 10% by developing Informatica mappings for Level 2 fact tables supporting personal lines and auto claims, enabling timely aggregation of earned premiums and incurred losses.

- Developed ETL mappings to move the data from source legacy mainframes to Netezza database and tested them for Business Auto and Business Owner's Property to provided aggregated data to associate team to make business decisions

- On-call production support for monitoring batch jobs for reporting and data services teams.Improved the on-call documentation by 20% and time to fix failed ETL jobs by 30%.

- Deployed DataStage, Informatica ETL mappings and shell scripts for Target Inc. and Mass Mutual Insurance for multiple usecases to deliver data on time for datawarehouses.

- Lead the design of data models,low level and high level designs and performing code reviews of ETL code.

Designed and developed Informatica ETL mappings to deliver daily datasets for American Family Insurance to Lexis Nexis via SFTP for underwriting purposes.

- Worked at offshore in building a datawarehouse using datastage and shell scripting.
- Designed high level and low level datastage mappings 
- Wrote purge scripts using shell scripting
- Optimized datastage performance tuning by improving bottle necks in the data pipelines

- Migrating 6200+ workstations from windows 2000 to windows xp professional
- Application packaging 150+ applications in windows installer format for seamless installation on different windows formats 
- Batch scripts and VB scripts for automation of usage for bank employees

Developed a Java Swing User Interface that allows Performance and Operability Engineers to set and retain editor preferences, ensuring a consistent user experience and streamlined workflow.

Implemented error-handling logic by creating a module to highlight parsing errors via color-coded dummy components, improving visibility and facilitating quick issue resolution.

Tarakanath Paipuru🇺🇸