Carnegie Mellon University - Heinz College of Information Systems and Public Policy
Carnegie Mellon University - Heinz College of Information Systems and Public Policy
September 28, 2021
This six-month program, which blends the value of on-campus sessions with the flexibility of synchronous distance learning, will prepare you to recognize business opportunities afforded by new data sources and the latest data science; match the right data to the right problem; ensure compliance with evolving regulations around security, privacy, and bias; understand the role of emerging technology; and achieve buy-in from stakeholders throughout your organization.
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Tags: AI Governance, Analytics, Privacy
Chief Data Officer Certificate
Executive Education at Carnegie Mellon University’s Heinz College
September 28, 2021
Executive Education at Carnegie Mellon University’s Heinz College
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Tags: Coaching, Leadership, Management
Carnegie Mellon University - Heinz College of Information Systems and Public Policy
Carnegie Mellon University - Heinz College of Information Systems and Public Policy
May 01, 2021
This six-month program, which blends the value of on-campus sessions with the flexibility of synchronous distance learning, will prepare you to recognize business opportunities afforded by new data sources and the latest data science; match the right data to the right problem; ensure compliance with evolving regulations around security, privacy, and bias; understand the role of emerging technology; and achieve buy-in from stakeholders throughout your organization.
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Tags: Coaching, Leadership, Management
Stanford LEAD: Corporate Innovation Certificate
Stanford University Graduate School of Business
June 01, 2019
The Stanford LEAD: Corporate Innovation Certificate is a year-long, 8-course program on key business fundamentals: finance, strategy, and critical thinking, as well as elective options such as design thinking and the innovation process, building business models, negotiation strategies, and overcoming resistance to change. Throughout the program, participants exchange ideas and collaborate on projects with small teams of like-minded, like-motivated peers, and engage with world-renowned Stanford GSB faculty, Silicon Valley leaders, coaches, thought leaders, and luminaries through regular live events, discussions, and facilitated feedback.
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Tags: Business Strategy, Design Thinking, Innovation
Stanford University Graduate School of Business
Stanford University Graduate School of Business
June 01, 2019
The Stanford LEAD: Corporate Innovation Certificate is a year-long, 8-course program on key business fundamentals: finance, strategy, and critical thinking, as well as elective options such as design thinking and the innovation process, building business models, negotiation strategies, and overcoming resistance to change. Throughout the program, participants exchange ideas and collaborate on projects with small teams of like-minded, like-motivated peers, and engage with world-renowned Stanford GSB faculty, Silicon Valley leaders, coaches, thought leaders, and luminaries through regular live events, discussions, and facilitated feedback.
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Tags: Coaching, Leadership, Management
University of North Carolina at Charlotte
University of North Carolina at Charlotte
May 01, 2019
Graduate Certificate, Advanced Databases and Knowledge Discovery
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Tags: Coaching, Leadership, Management
University of North Carolina at Charlotte
University of North Carolina at Charlotte
April 01, 2019
Master of Science, Computer Science - Specialized in Data Management & Software Engineering
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Tags: Coaching, Leadership, Management
Generative BI: The Evolution of Business Intelligence Through Generative AI Integration
International Journal of Multidisciplinary
January 16, 2025
The rapid advancements in Generative Artificial Intelligence (AI) are ushering in a
new era for traditional Business Intelligence (BI) systems. This paper explores the
emerging field of Generative Business Intelligence (Generative BI), which represents
the convergence of BI and cutting-edge Generative AI technologies
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Tags: AI, Generative AI
Edge data governance: Frameworks and approaches for distributed data management at the network edge
International Journal of Multidisciplinary
August 06, 2024
The exponential growth of edge computing has shifted data processing closer to its
source, enabling low-latency applications and real-time decision-making. However,
this distributed architecture introduces significant challenges in data governance,
including data security, compliance, and policy enforcement across disparate
environments.
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Tags: AI, Generative AI
BI Engineer - HQ BI Architecture
Microsoft
January 01, 2012
Delivered results through vendor partnership with Cognizant Technology Solutions with my role as Associate - Projects.
Worked as Lead Engineer for delivering metrics and KPIs for Delivery Performance Dashboard intended for Microsoft Consulting Services business
Experienced in source system qualification, analysis and on-boarding into existing data warehousing platform
Gathered business requirements for different metrics and performed technical feasibility and data analysis
Designed ETL and OLAP model for integrating data from new source system into existing data warehousing platform
Engaged in end to end ETL development using Integration Services and OLAP Cube development using Analysis Services
Hands on experience in developing calculated measures in SSAS cube
Performed end to end testing from source to data mart to UI
Coordinated and addressed change requests for existing metrics and objects in the data warehouse
Delivered MDX queries and SQL queries addressing User Interface requirement for different dashboards
Worked on performance tuning and query optimization
Performed release management activities and governance across all environments in the platform
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Tags: Architecture, Engineering
Data mart/OBIEE Technical Analyst
TIAA
July 01, 2011
Contributed to Agile BI project that implements data marts to support decision-making for different application and business areas that includes Project Management, ITIL, Resource Management, Error Management and Batch Job Management.
Frequently collaborated with business users for gathering functional and non-functional requirements and translated them into scalable and robust data warehousing solutions.
Designed and developed multidimensional data models to support the growing data warehouse architecture.
Performed extensive source-system analysis, source-to-target data analysis and transformation analysis.
Implemented source to target mappings (ETL) in data stage and informatica that includes data extraction, data cleaning, filtering, applying transformation, SCD implementation, incremental loading and auditing.
Performed all levels of testing on the transformation mappings and incremental data load to meet the requirements.
Participated in full life cycle, end to end from design, implementation and maintenance.
Designed and developed OBIEE meta data repository that maps the warehouse model to presentation services.
Developed interactive dashboards, reports (pivoted view, tables, charts, navigation, drill-down, write-back etc.,) and I-Bot report delivery using OBIEE capabilities, advanced XML and SQL.
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Tags: Agile, Architecture, Management
Assistant Systems Engineer
Tata Consultancy Services
January 01, 2009
Trained by TCS Initial Learning Program.
Enhanced my skills in programming concepts, software project management, Unix, C++, Java, Oracle, OO Development, MVC architecture, unified approach through real time projects, skill port and brain bench certifications.
Worked with an APAC Airways Client
Gained exposure to software development, data management, continuous process improvements and troubleshooting.
Event Coordinator, Earth Week (Carbon Foot Print Awareness), Tata Consultancy Services Ltd, Haldia
Executed successful event for 600+ participants.
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Tags: Engineering, IT Operations
General Manager, AWS Data Platform
Amazon Web Services (AWS)
October 01, 2021
Leading AWS Data Platform organization empowering 500+ AWS teams across 10+ countries. My focus: delivering business impact through technical excellence, operational efficiency, and enterprise strategy.
Vision & Strategy:
• Defined Data Platform roadmap aligning with AWS strategic priorities and evolving data landscape
• Established priorities with executive leadership ensuring maximum business value
• Connected data architecture progress to business KPIs including revenue growth, margin improvements, and risk mitigation
Global Execution & Transformation:
• Scaled secure, compliant data ecosystem across hundreds of teams and petabytes of data
• Expanded engineering footprint to four new regions to meet diverse security and regulatory requirements
• Led multi-year data security transformation, retiring redundant pipelines and standardizing controls
• Partnered with audit, legal, and compliance leaders to harmonize policies and modernize controls
Data Governance Excellence:
• Built unified data catalog serving hundreds of use cases
• Launched robust lineage tools enabling centralized oversight of information flow
• Drove executive workshops to foster data stewardship culture
• Implemented automated checks for data quality, privacy, and access
Self-Service & Workforce Engagement:
• Deployed modern data tools reducing onboarding from weeks to hours
• Led 70+ diverse professionals across 4 timezones
• Implemented mentoring programs and leadership opportunities
• Maintained retention/engagement scores exceeding benchmarks
Key Outcomes:
• Tens of millions in annual cost savings through intelligent data optimization
• 4X increase in platform adoption after self-service tool deployment
• Accelerated time-to-insight for mission-critical analytics
• Unified enterprise data governance standards enabling seamless regulatory audits
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Tags: Analytics, Cloud, Data Center
CDOIQ Society Member
CDOIQ Program
August 13, 2025
Chief Data Officer and Information Quality (CDOIQ) is a premier organization dedicated to advancing the role of data leaders, improving data management, and enhancing information quality.
Issued Aug, 2025 – Expires Aug, 2026
Credential ID 3c41785a-6a16-4daa-aa9d-41b68d8bf817
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Tags: Big Data, Leadership, Management
AI for Business Leaders
Maven
June 08, 2024
#1 AI Business Course. AI leadership essentials in 40 pre-recorded modules + three live webinars to build a stronger org in the AI age.
Credential ID XkbiWi
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Tags: AI, Leadership
Software Development Manager, AWS Data Platform
Amazon Web Services (AWS)
May 01, 2018
I lead the team at AWS focused on data engineering innovation and core data platform services. I manage a team (30+) of Data Engineers, BI Engineers and Software Development Engineers who are building a next generation Data Platform to support the AWS business (40B in annual revenue) and operational data needs. Our data platform (Enterprise Data Lake and Data Warehouse) self-serves customer usage and revenue data for all teams (such as over 170 product & service owners, sales, marketing, business development, finance etc.) to gain business insights.
My team’s mission is to help AWS be a more data driven business. The data engineering and analytics at AWS is the backbone for how we measure what we are doing, where we are going, find new opportunities to test things, or find fresh problems to solve. We help AWS teams to identify great metrics to define high impact projects and find drivers and components that make it succeed or fail. Finally, we arm decision makers with actionable information that can be as metrics, data tools or one of insights to decide whenever they need to. It is my great responsibility to ensure that I focus my engineering team on high impact projects that move AWS forward and make a better suite of data products for our customers.
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Tags: Analytics, Big Data, Cloud
Senior Data Engineering Leader, AWS Data Warehouse
Amazon Web Services (AWS)
April 01, 2013
Led the architecture design and development of the Enterprise Data Lake for AWS from more than 100+ disparate data sources to support low-latency and operational use cases on AWS data assets.
Delivered data solutions for big data processing of customer usage and estimated billing data sets.
Built the multi-layered data warehouse architecture consisting of operational data store and presentation layers in Amazon Redshift.
Collaborated with over 100+ AWS products and services teams, delivered presentation layer and business metrics and provided a scalable consumption data model for data driven decision making.
Collaborated with 51 AWS products and services at the time to migrate their analytics workload
over 100,000 queries per week from Oracle based micro-cluster platform to Redshift based
multi-cluster platform in a period of 18 months.
Drove the roadmap for internal adoption of Redshift at AWS and co-built a self-service
ETL tool for Redshift which currently serves over 300 Redshift cluster internally for
decentralized data analytics and business reporting.
Optimized SQL data transformations for critical path reporting and improved the data delivery SLA
for AWS estimated billing revenue dataset by 33% (reduced from 3 hours to 2 hours) of processing
over 1 billion records per day.
Improved data quality of over 100 datasets in AWS DW through automated audits,
source to target comparison, enforced integrity checks, reduced unnecessary workflow latency to
deliver data faster for downstream systems (reduced from 25% to 5%).
On-boarded over 50 new data sets from various AWS service teams to the enterprise Data Warehouse to meet reporting and new metrics need for customer analysis.
Defined strategy for data archival and implemented time series based archival mechanism to improve query latency and partition pruning based on sort keys.
Automated AWS Bill Run data ingestion workflow into the Enterprise Data Warehouse and ensured 100% SLA compliance.
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Tags: Analytics, Big Data, Cloud
UW Foster School of Business
UW Foster School of Business
January 01, 2026
The UW Foster School of Business, located in Seattle, is a top-tier institution known for its world-class faculty, exceptional student experience, and strong industry connections.
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Tags: Coaching, Leadership, Management
Guest Speaker
UW Foster School of Business
January 01, 2026
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Tags: Education, Future of Work, Leadership
From Data Fragmentation to AI-Ready Knowledge: What Data Engineers Need to Build Now
University of Washington Bothell
Mentor at Mentorship EDGE
Member
