Senior Data Engineer with 6+ years of experience designing, developing, and optimizing scalable data platforms, ETL/ELT pipelines, and cloud-based analytics solutions across Azure, AWS, and GCP environments. Experienced in building enterprise data engineering solutions using Python, PySpark, SQL, Scala, Apache Spark, Hadoop, Kafka, Azure Databricks, Azure Data Factory, Snowflake, and Delta Lake. Strong expertise in data ingestion, transformation, distributed computing, real-time and batch processing, dimensional modeling, data warehousing, and cloud migration initiatives. Proven track record of delivering high-performance data solutions that support business intelligence, advanced analytics, reporting, and machine learning workloads. Experienced in implementing Medallion Architecture, optimizing Spark workloads, building analytics-ready datasets, and developing scalable data platforms that improve data quality, governance, reliability, and operational efficiency. Skilled at collaborating with business stakeholders, data scientists, architects, and cross-functional teams to translate business requirements into data-driven solutions. Core Competencies: • Data Engineering & Data Architecture • ETL/ELT Pipeline Development • Python, PySpark, SQL & Scala • Apache Spark & Distributed Computing • Azure Databricks & Azure Data Factory • Snowflake & Delta Lake • Hadoop, Hive & Kafka • Data Warehousing & Dimensional Modeling • AWS, Azure & Google Cloud Platform (GCP) • Real-Time & Batch Data Processing • Data Governance & Data Quality • Power BI & Analytics Reporting • CI/CD, Git & Agile Methodologies
