> Responsible for the Data Domains for Prescriptions, Claims, Rewards, Customers, Providers, Patients Advocacy, Health Pages, Marketing, Subscriptions, NCPDP, Pricing, Medispan and etc.> Responsible for all of the GoodRx's Data Acquisition, Data Ingestion, Data Processing, Data Governance, Data Deidentification, Data Analysis, Data Privacy State Laws such as CCPA, Data Retention, Enterprise Metrics, Enterprise Data Marts.> Manage, scale and maintain entire data platform tech stacks such as Big Query, Redshift, Databricks, Kafka, Airflow, Fivetran, DBT and etc.> Responsible for about $100M revenue streams.> Manage Digital Data and Marketing Technology.

• Lead and grow team of 20+ Data Engineers and data analysts to architect, design and build enterprise-wide data assets and provide actionable data insights/predictions for all the business verticals such as marketing, user experiences, finance, product and etc.,• Architect and build domain-based data marts for Subscriptions, Claims, Pricing, Lead Surveys, Customer 360, Marketing, Core Funnel, Pharmacy, Manufacturer Solutions and etc.,• Leading automation of marketing audience generation for various channels like Direct Mail, Digital (FB, Google Ads, Apple Search), Linear TV, Streaming and etc.,• Lead and manage all kind of Marketing Data integrations like Tradedesk, Liveramp, Adstra data and etc.,• Managing data and reporting platforms/technology with tech stacks of AWS, Segment Data, Airflow, S3, EMR, Delta Lake, Airtable, Fivetran, DBT, Monte Carlo, Redshift, Confluent Kafka, Biq Query, Looker and Salesforce• Implement compliance practices such as CCPA & HIPAA for the data org • Develop and own relationships business stakeholders, engineering, marketing, and product management• Partner with stakeholders on strategies and tactics to enable flow of data across the company• Present the vision and strategic recommendations with clarity and concision to stakeholders having varying degrees of data fluency• Manage and prioritize requests from stakeholders and set realistic expectations; transparently communicate about priorities on a regular basis• Deliver insights to inform and influence strategic product decisions across the full product lifecycle, from ideation to post launch• Lead automation of marketing attribution for various marketing channels• Responsible for data applications uptime, SLA, operational efficiency, data platfroms & team budget and forecast

• Lead and grow team of Data Engineers to design and build Groupon’s first petabyte Cloud Data lake supporting 800+ internal analysts and data scientists • Taking Groupon’s Data journey to the next level and keep implementing the cloud transformation by creating centralized Data Engineering team• Responsible for multiyear budget and roadmap to consolidate all on-prem data platforms and migrate it to cloud only single data platform with PetaBytes of data• Implement real-time data ingestion using AWS Managed Kafka Stream for business needs such as redemption of deals, top trending deals feed to app, frequently used deals • Modernize the current SQL data pipelines using Airflow, Python, Spark & Delta Lake to form S3 data lake• Involve in Data Platforms & Cloud Data services evaluation and vendor selection• Evolving, modernizing and delivering a comprehensive Data Platform by building strong partnerships with peers across the organization to support data-related goals• Working with various Data Product stakeholders across Groupon on the roadmap for Groupon Data Community• Implement ACID in S3 data lake (one of the biggest challenges in ETL world) using trending open source Delta Lake from Data Bricks• Implement compliance practices such as CCPA & GDPR for the data org • Establish data governance for the entities in S3/Snowflake/Teradata/Hadoop data platforms using open-source Apache Atlas• Exploring containerization of big data applications using Kubernetes

• Lead globally distributed teams delivering internal and external data needs for all Discover banking product lines (Personal Loan/Line of Credit/Deposits/Marketing)• Build Data Lake on the Cloud for Banking and Lending portfolio data sources such as origination, servicing, collections and recovery• Lead the effort to migrate 2PB on premise Hadoop platform to AWS Snowflake• Plan and build Marketing 360 Analytics Database on a scalable data infrastructure on AWS with 400TB of data• Ingest Point of Sale IoT data into S3 data lake for business use cases like risk detection and real-time marketing offering• Acquire Digital Data using APIs from Social Medias like Twitter, Facebook for customer care analytics using Kafka Stream, DynamoDB, Elastic Search and Kibana • Acquire and Transform Credit Bureau/Fraud aggregator data from 3rd party Cloud platform to Discover AWS Cloud data platform using Spark, Python and EMR• Architect and review data integration solutions for internal data streams along with cloud based applications• Responsible for banking data applications uptime, SLA, operational efficiency, team budget and forecast• Comply with PCI/PII Critical Data Security standards• Expertise in development principles (Agile, Scrum, Kanban) and S/W development enablement tools (Jira, Rally)• Proficient in data science modeling techniques (regression based models, tree based models, experimental, etc.) and tools (R Programming)

Overview:Data Technology Global Operations team partners with cross functional organizations to acquire data from multiple source systems to provide accurate and timely integration of data. Leverage latest technology to empower Global Operations advanced analytics and Business Intelligence to improve agents’ performance and reduce new agents’ growth rate. Partner with product teams to improve product performance for better User Experience.Responsibilities: • Manage team of 10+ Data engineers and analysts• Design and built new data pipelines to acquire global customer services interactions data such as voice, email, chat, survey and social media for customer care analytics• Provide data visualization on Consumer insights based on customer care inbound and outbound calls, emails and chats• Partner with Data Sciences team for Text mining tools and techniques for keyword search and sentiment analysis• Re-target churn/about to churn customers those who are not happy with customer care services to reduce customer churn and increase revenue• Improve agents average case handle to increases case turn around time by enabling Elastic Search with new data mart for quick look up and data visualization of EDD/SAR cases using ELK• Forecast customer call center/email volume based on net new customer growth• Work with Information Security team to adhere Data Security standards to comply with PCI/PII• Involve and estimate YoY Capex & Opex, Software Licensing and Hardware Procurement• Review Requirement Analysis, Data Modeling, ETL Architecture and Data Visualization• Forecast and strategize future data, infrastructure and analytical needs• Adhere data quality & production job SLAs and participate in monthly SLA and KPIs review meeting with Executive teams• Align with Agile Methodology to success or fail fast

Overview:Late 2014 PayPal was decided to be an separate company by Q3 2015 with strength of 16,000+ employees. Hence eBay and PayPal formed a new team called STEP (Separation Team Ebay & PayPal) across various departments to make this split happen on-time with flawless execution. I was chosen to be part of STEP to lead Data Migration effort from one Teradata system (shared between eBay & PayPal) to whole new Teradata system.Responsibilities:• Lead large-scale separation team of eBay’s and PayPal’s data with 7 members• Accountable for migrating 1.5 PB data, 82,000 tables and 4,000 user accounts with less than 18hrs system downtime for end users• Kept 750+ large tables in-sync between two systems for more than 45days that accounts 60% of 1.5 PB thus helped reduce system downtime• Built data validation technique to validate between two source and target with hashing algorithm• Delivered mission-critical data replication capabilities that enabled large-scale, low-latency replication of data sets between two Teradata data platforms• Ensure high quality of data replication by expanding hashing algorithm to Hadoop platform to validate data between source and target• Built scalable framework to validate data on day-to-day basis and record validation status to measure the replication quality• Published BI Dashboard to report data replication status and DMR system health check using Tableau• Built self support UI for end users to request standard data replication with minimal information • Ran data security remediation program across all data platforms to clean up and mask PCI and PII information

Overview:PayPal is having heterogeneous data platforms like Oracle, Teradata, AWS RedShift & Hadoop with more than one system in same type. For example, PayPal have more than one Oracle, Teradata and Hadoop systems. In most cases, the requirement is to enable data historically and incrementally between these platforms with less/no effort. Data change capture is much difficult when the source platform has Deletes. Having said that we built a highly scalable Data Movement and Replications (DMR) platform which moves more than 10,000 datasets today across different platforms that handles all kind of DML changes including Deletes. This metadata driven product was built using Python, Shell scripting, Oracle, Teradata Utilities & Map Reduce programs.Responsibilities:• Managed data engineering team with 10+ members to built core components• Owned and accountable for design & development of the product• Designed and Architected Python components for the whole framework• Developed SQLs for metadata driven job creation, job scheduling and job prioritization • Innovated the idea of job monitoring & alerting using Python • Introduced custom build Teradata data transfer utilities• Used Outliers formula to eliminate anomalies and calculate expected job completion time• Optimized to use respective data transfer utilities based on data volume to effectively utilize source system

• Lead 7+ data engineering team members• Built Campaign Growth Dashboard to predict best time to launch/stop ad-hoc campaigns and its revenue based on attributions• Compute cluster to target similar consumers with same campaign fro different regions• Built in-bound & out-bound data pipeline for Consumer Life Cycle Value Management (LVM)• Built Campaign Reporting Analytics model to calculate campaign success rate and revenue • Delivered highly scalable PayPal Segmentation Platform that segment consumers offline to show impressions during their next PayPal site visit• Built Operational Data Mart for Unica Campaign generation• Built Campaign Growth Dashboard • Evaluate Google Paid search and Vodafone push notifications campaigns performance• Review ETL/ELT design solutions for handling big data on platforms like Teradata & Hadoop • Set coding standards, best practices and optimization techniques for various platforms and technologies across different domains• Drafted High Level Design documents for Marketing 360 view of consumers• Enhanced daily operations alerts to reduce failure response time in production

. Tech Lead Netezza to Teradata migration for Roger's communication. Project Lead DB2 to Teradata migration for Wellsfargo. Tech Lead Teradata ETL optimization for Freescale Semiconductor