About Me
I am a Data Engineer with 4+ years of hands-on experience designing and building scalable data pipelines, optimizing ETL/ELT workflows, and implementing modern cloud-based data solutions. My expertise spans Python, SQL, Spark, and cloud platforms (AWS, Azure, GCP), with proven success in leveraging tools like Snowflake, BigQuery, Databricks, Airflow, and DBT to deliver high-performance analytics solutions. I have worked extensively on data lakehouse architectures, real-time streaming (Kafka, Pub/Sub, Kinesis), and large-scale data migrations, ensuring data quality, governance, and compliance in highly regulated industries including healthcare, finance, and telecom. With strong skills in CI/CD automation, DevOps integration, and infrastructure-as-code, I focus on building reliable, production-ready systems that accelerate business insights. Recognized for my ability to collaborate cross-functionally with data scientists, analysts, and product teams, I bring both technical depth and business alignment to every project. I am passionate about solving complex data challenges, mentoring peers, and driving innovation in cloud-native, distributed data engineering.
