➢ AWS Solution Architect/ Data Engineer Lead with total 14+ years of expertise in cloud services (AWS), Business Intelligence (BI), data warehousing (EDW), and data analysis. ➢ Experience in shaping & driving data strategy for the organization through implementation of best practices and controls. ➢ Skilled in DevOps, CI/CD, Jenkins, Git, and Gitlab for streamlined automated deployment. ➢ Expertise in crafting high-performance and optimized data solutions. ➢ Effectively collaborate with business teams to propose architecture and obtain budget approvals through comprehensive estimates for data solution. ➢ Skilled in data architecture and designing data pipelines, data lakes, data warehouses, data marts to empower data-driven decisions. ➢ Hands-on experience migrating Oracle databases to AWS with Kafka, AWS Glue & Spark. ➢ Proficient in various AWS services like Glue, S3, Redshift, Athena, Lambda, SNS, SQS, DynamoDB, RDS and big data ecosystem - Hadoop, Spark, Hive, Sqoop, MR. ➢ Engage in resolving issues to improve server utilization when the platform reaches max capacity. ➢ Ensuring GDPR compliance & PII data encryption in all tables. Keeping track of users decrypting the PII data. ➢ Proficient in crafting dashboard wireframes and utilizing Qlik Sense for powerful visualizations. ➢ Aligning and managing the expectations of global stakeholders across diverse regions. ➢ Experience in overseeing a team of 25 resources, ensuring seamless delivery, leave management, performance evaluations, and facilitating career projections for team members. • Skills ➢ Cloud Services: AWS, Alibaba Cloud (DataGo), GCP (Google Cloud Professional Data Engineer ➢Database Migration: Migration from Oracle to AWS Redshift, Oracle to Hive ➢Databases: Redshift, Teradata, Oracle, MySQL, Hive, RDS, Hbase, Snowflake. ➢ Programming/ ETL/ELT Skills: AWS Glue, Python, SQL, Scala, NoSQL, VBA, Snaplogic, Pyspark. ➢ Big Data Ecosystem: Hadoop, Spark, Sqoop, Kafka, Map Reduce, YARN. ➢ Visualization- Qlik Sense, Hyperion Interactive Reporting, Excel. ➢ Data Skills – Data Engineering, Data Architect, Data Modelling, Data Quality, Data Governance. ➢ Other Skills – Stakeholder Management, Project Management, Data Delivery, Troubleshooting, Root Cause Analysis, Problem Solving, Collaboration, Time Management, Performance Tuning.