Over 20 years of experience, building, leading and managing globally distributed teams, delivering large-scale and complex data engineering solutions across infrastructure, analytics, and machine learning platforms. Expertise in building centralized, trusted data foundations and scalable systems for operational insights, business intelligence, and compliance across diverse industries.Currently leading a charter at Apple to develop innovative solutions for infrastructure insights and data center power planning, enabling capacity forecasting, chargeback systems, and actionable analytics to optimize both first-party and third-party cloud environments.Green field implementation of centralized data platform, enterprise-wide data warehouse and master data management for operational and analytics need at Compass using open source, cloud and big data technologiesLoyalty and affiliate program implementation, resulting in 70% adoption of program and 65% revenue from loyalty repeat customersLed one of the world’s largest offline (email, SMS, push-notification) outbound customer communication data analytics and platform at Amazon to drive better engagement, conversion, customer satisfaction and reduce opt-outs.Implementation of customer segmentation to create curated marketing email, push notification and on site personalize experience for customers.Led the data privacy program for the org for CCPA compliance.Led the migration from traditional on-premise DB to distributed data processing system (AWS) delivering 4x improved performance in load and over 8x in reportingScaled multiple teams, led, mentored, and developed high-performing team to achieve core business milestones on time and within budget and help individuals growSpecialties: Engineering leadership, scaling team, roadmap, team development, cloud infrastructure planning, product and program management, data security, solution architect, 24*7 Operations management, DevOps, big data, ETL/BI tool administration, data platform, data model/architecture, performance management, delivery execution. Technically proficient with multiple tools and technologies on cloud, traditional DW/ETL and big data engineering, analytics and dashboards.(Databricks, RedShift, Snowflake, Python, Spark, DBT, MPP, S3, SQS, SNS, Kafka, Kinesis, Ec2, VPC, Lambda, RDS, Informatica, Quicksight, Cognos BI, Cognos planning, Talend, SSIS, SSRS, MicroStrategy, Business Objects, QlikView, SQL Server, DB2, Oracle, PostgreSQL, Kubernetes, Docker)Certifications:AWS Certified Solutions Architect – Associate