Data engineering lead with 12+ years of customer facing experience have enabled me to adapt and evolve as a engineering leader, manage client relationships, problem-solve with effective communication, learn, and stay ahead in this rapidly changing field. During my tenure, built data solutions for 25+ clients across multiple domains(retail, telecom, manufacturing, logistics, hospitality, public sector, digital marketing(ads) etc.) to achieve their strategic goals.7+ years of experience in executing projects, building high performance data engineering teams, and mentoring data engineers. Experienced in managing multiple clients. Excellent problem-solving skills.Successful track record of driving cost cuttings through architecture recommendations, resource and process optimizations.Leading data engineering efforts integral to product utilized by multiple clients, leading its design, development and delivery, as well as managing team of data engineers.Hands-on data engineer skilled in designing & developing data model, data architecture, ETL, data integration, pipelines, big data, distributed systems using Spark, Hive, SQL & MPP databases. Productionized scalable data models to efficiently manage large volumes of transaction data, totaling over 500 terabytes.Experienced in highly agile work environments where client requirements and priorities change last minute. Collaboration with client SMEs and stakeholders is a critical aspect of my role to be successful in timely and high-quality project delivery.Skills:Expert in big data, data modeling, data warehousing, data mining, SQLDistributed data processing, Apache Spark, Apache hive, Sqoop, Pyspark, Delta Lake, Synapse, Redshift, DynamoDB, Azure SQL, Big Data, Teradata, Aster, HP Vertica.RDBMS - SQL Server, Oracle, Postgres.OLTP, OLAP, SQL, Spark & SQL optimization.Apache Airflow, DBT, Databricks.Python, UNIX shell scripting.