Summary
Overview
Work History
Education
Skills
Accomplishments
Languages
Timeline
Personal Information
Force multiplier award to setup the multi cloud setup in penfed
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Kishor Mehra

Dallas,TX

Summary

Strategic data executive with 20+ years of experience in transforming raw data into valuable business assets. Skilled in building cloud data platforms, scaling delivery teams, and managing multi-million dollar budgets. Leads cross-functional teams of data engineers, analysts, and scientists to enhance revenue growth and align data initiatives with corporate goals.

Overview

1
1
Language
21
21
years of professional experience

Work History

Head of Data Platform and Data Delivery (Director)

PenFed Credit Union
Dallas, TX
01.2026 - Current
  • Own the end-to-end multi-cloud data platform strategy, shifting core analytics infrastructure to a unified Snowflake architecture and partnering with C-suite executives to define the multi-year enterprise data strategy, powering real-time machine learning inference for core products.
  • Spearheaded the transformation of the legacy data warehouse into a modern, cloud-based warehouse solution on AWS/Snowflake, reducing data retrieval latency by 80% and supporting analytics.
  • Oversaw complete lifecycle of data ingestion (Open flow, Postgres), orchestration (Airflow), reporting (Tableau, Sigma, Monarch), machine learning (Dataiku), data governance (Ataccama), and data modeling (Erwin).
  • Enabling near-real-time analytics for consumer banking,marketing, homeloans, operations and finance line of businesses to drive and enhance predictive and decision making capabilities.
  • Oversee the complete lifecycle of ingestion ( Open flow, Postgres), orchestration (Airflow), reporting (Tableau, Sigma, Monarch), Machine learning (Dataiku), Data governance(Ataccama) and data modeling (Erwin).
  • Spearheaded an AI-driven customer segmentation using snowflake cortex and machine learning models that boosted email campaign response rates by 25%.
  • Partnered with product and marketing leadership to deploy predictive customer segmentation models, increasing deposits by 30%.
  • Directed an organization-wide data governance initiative, enforcing compliance standards and boosting data quality metrics by 20% across all business units.
  • Enabled near-real-time analytics for consumer banking, marketing, home loans, operations, and finance, enhancing predictive and decision-making capabilities.
  • Implemented comprehensive data governance framework with InfoSec and Legal, improving data quality metrics by 25% and ensuring 100% regulatory compliance.
  • Mentored and built a high-performing data organization, promoting 6 engineers to senior/lead roles and reducing team attrition to under 5% annually.

Data & Analytics Engineering Manager

PenFed Credit Union
Dallas, TX
01.2022 - 12.2025
  • Overhauled the company’s enterprise data strategy, enhancing the accuracy and reliability of executive decision-making capabilities by 35%
  • Executed a unified multi-tenant data platform on Snowflake and AWS, reducing data redundancy by 60% and improved performance by 90%
  • Managed the end-to-end delivery of 15+ complex business intelligence and data warehousing projects, resulting in a 25% reduction in operational costs.
  • Implemented a framework to establish a CI/CD workflow for data engineering, ensuring 99.9% pipeline uptime and automated deployment.
  • Collaborated with C-level executives and steering committees to convert complex technical milestones into actionable business metrics, enhancing strategic alignment.
  • Enabled data commercialization and self-service BI capabilities across the organization, which unlocked new revenue streams and increased cross-functional data-driven decision-making by 35%
  • Optimized ETL/ELT workflows, reducing batch processing times by 30% and freeing up critical engineering resources for strategic product launches
  • Collaborated with Product and Marketing stakeholders to implement predictive analytics and customer segmentation models, directly contributing to a 25% increase in customer retention
  • Partnered with Product, Marketing, and Operations to define business requirements, translating complex data into actionable initiatives that boosted customer retention by 20%
  • Partnered with Product, Marketing, and Operations to define business requirements, translating complex data into actionable initiatives that improved customer retention by 20%.
  • Expanded data engineering team from 9 to 20 personnel, cultivating high-performance culture that contributed to 20% year-over-year reduction in employee turnover.

DATA & Analytics Engineering Lead & Manager

New York Life Insurance
Jersey City, NJ
05.2015 - 12.2021
  • Led 12 agile data delivery workstreams, executing complex data migrations and integrations on-time and 15% under budget.
  • Led the end-to-end delivery of enterprise reporting tools, cutting daily data delivery latency from 4 hours to under 15 minutes.
  • Designed and built end-to-end data pipelines for advanced analytics, machine learning, and reporting initiatives.
  • Introduced event-driven architecture using Kafka and NiFi for streaming data.
  • Led 12 major agile data delivery workstreams, ensuring complex data migrations and integrations were executed on-time and 15% under budget.
  • Enhanced trust in executive dashboards, reducing reporting discrepancies by 40%.
  • Increased trust in executive dashboards and reduced reporting discrepancies by 40%.
  • Defined standards and policies for data acquisition and metadata management, ensuring consistent reporting across multi-domain master data.
  • Established company-wide data governance and data quality frameworks, lowering data processing errors and audit findings by 30%.

Data Warehouse Technical Lead & Data Architect

AXA Equitable
Syracuse, NY
05.2010 - 04.2015
  • Delivered an on prem Cloudera data lake with 50+ TB data and modernized data platform.
  • Built scalable dimensional data marts supporting global finance and operations teams.
  • Implementing streaming and batch pipelines using event-driven architecture to reduce latency and improved data freshness.
  • Establishing lineage, metadata, PII tagging, and quality rules to ensure trust and consistency across all reporting.
  • Building semantic layers and certified datasets that empower business teams while reducing ad-hoc reporting load.
  • Built and maintained datastage mappings to extract, transform, and load data from CRM and ERP sources into enterprise Oracle data warehouse, ensuring data integrity and reliability.

ETL Developer & Technical Lead

TCS
Chennai, India
01.2006 - 04.2010
  • Optimized PL/SQL stored procedures and tuned SQL queries, improving overall reporting performance by 40%.
  • Automated daily ETL job scheduling and monitoring with Autosys and Unix Shell Scripting, enhancing reliability of data workflows.
  • Built and maintained Informatica mappings to extract, transform, and load data from CRM and ERP sources into an enterprise Oracle data warehouse.
  • Developed complex Slowly Changing Dimensions (SCD Type I & II) to capture historical data accurately.
  • Developed complex Slowly Changing Dimensions (SCD Type I & II) for accurate historical data capture, improving data integrity.
  • Designed logical and physical dimensional data models for real-time analytics, enabling insights for 50+ business stakeholders.

Education

Bachelor of Engineering - Computer Science & Engg

HNB Garhwal University
India
01-2005

Advanced Mgmt Prog - Business Analytics

Indian School of Business
Hyderabad, India
01-2015

Skills

  • Leadership & Governance: Team leadership, Agile/Scrum, Budget Management, Predictive analytics, Data governance
  • Data Platform Architecture: Data Lake, Data Mesh, Data warehousing
  • Data Delivery & Engineering: Streaming data, ETL pipelines, Data Warehousing, Data Modeling
  • Data Monetization
  • Big data ecosystems: AWS (S3, EC2, EMR), Snowflake, Apache Spark, Kafka
  • Digital Analytics
  • Analytics and BI: SQL, Python, Sigma, Tableau

Accomplishments

  • Achieved cloud migration for a legacy warehouse by completing 100TB+ data with accuracy and efficiency.
  • Achieved 50% additional deposits target by introducing unified data model for marketing campaigns tasks.
  • Achieved multi-tenant enterprise data platform with AI/ML capabilities from scratch by introducing AWS/Snowflake.

Languages

English
Full Professional

Timeline

Head of Data Platform and Data Delivery (Director)

PenFed Credit Union
01.2026 - Current

Data & Analytics Engineering Manager

PenFed Credit Union
01.2022 - 12.2025

DATA & Analytics Engineering Lead & Manager

New York Life Insurance
05.2015 - 12.2021

Data Warehouse Technical Lead & Data Architect

AXA Equitable
05.2010 - 04.2015

ETL Developer & Technical Lead

TCS
01.2006 - 04.2010

Advanced Mgmt Prog - Business Analytics

Indian School of Business

Bachelor of Engineering - Computer Science & Engg

HNB Garhwal University

Personal Information

Title: Director - Data, Analytics & AI

Force multiplier award to setup the multi cloud setup in penfed

Spearheaded the transformation of the legacy data warehouse into a modern, cloud-based  warehouse solution on AWS/Snowflake, reducing data retrieval latency by 80% and supporting  analytics. Decommissioned the old warehouse solution running on SQl and hadoop data lake.