Dynamic and results-driven versatile Senior Data Engineering Leader with over 15+ years of expertise in designing and implementing advanced data solutions. Proven track record in leading teams and managing large-scale data engineering projects. Expert in optimizing data pipelines, migrating legacy systems to modern technologies, and leveraging performance-enhancing techniques. Adept at driving strategic initiatives, ensuring data quality, and delivering actionable insights to support business objectives. Skilled in stakeholder management, cross-functional collaboration, and aligning data strategies with organizational goals. Committed to fostering innovation and excellence in data engineering practices. AREA OF EXPERTISE • Data Architecture & Strategy • ML Engineering/ MlOps • Team Leadership & Mentorship • Agile & DevOps Methodologies • Data Governance & Compliance • Stakeholder Management & Communication • Building Data Lakes, Data Fabric. • Product Planning and OKR Definition. • Leading MVP Definition and Development. • Strategic Annual and Quarterly Planning. • Project and Resource Planning. • Optimization and simulation. • Cross-functional team management. • Data security, privacy, and Governance. • Tactical Execution/ Project Oversight. • Quantitative analysis TECHNICAL SKILLS • ML Engineering: MLflow, Kubeflow, Feature Store, Unity catalog, Model Registry. • Hadoop & Spark Stack: Hadoop Ecosystem, Spark 2.x, Datafram API, Spark SQL, Databricks and Map Reduce, Alluxio. • Streaming Stack: Spark Structure Streaming, Kafka, Kinesis, MSK, Flume. • Database Technologies: Teradata, Oracle, Hive, Athena, Presto. • Cloud: AWS, EKS, EC2, S3, Glue, EMR, Lambda, CloudWatch, SNS, SQS, EKS. • No SQL: HBase, DynamoDB • Languages: Scala, Python and Shell • Monitoring and Reporting: Kubernetes, Airflow, Tableau, Looker and UC4 • Formats: Parquet, Delta, Iceberg. • CI/CD: GIT, Jenkins, Nexus, Seldon Core. • Security & Privacy: Privacera, Kerberos, Ranger, Audits, CPPA & GDPR data privacy.