Adil Inthiyaz Shaik — Data Engineer

I’m a data engineering professional with a strong foundation in building scalable, high-performance data pipelines for both batch and real-time processing. My experience spans designing ETL workflows, stream processing architectures, and cloud-native data solutions. 🔹Technical Skills: * Data Engineering: Spark (PySpark, Spark SQL), Kafka, Hive, Hadoop, Delta Lake * Programming & Tools: Python, Java, SQL, Docker, Git, CI/CD, Shell scripting * Workflow Orchestration: Airflow, Azure Data Factory, UC4 * Cloud & Platforms: Azure (ADLS Gen2, Databricks), Snowflake, PostgreSQL, NoSQL 🔹What I Do: * Design and optimize end-to-end ETL pipelines * Implement real-time data processing with Kafka and Spark * Optimize Spark jobs and Hive models for performance at scale * Automate workflows using Airflow, Docker, and CI/CD pipelines * Translate business needs into technical data solutions 🎓 Certifications: * Microsoft Certified: Azure Data Engineer Associate * Databricks Certified Data Engineer Associate * Snowflake SnowPro Core Certified 🌐 I’m cloud-adaptable, quick to learn new platforms, and passionate about turning raw data into reliable, actionable insights. Let's connect!

Stackforce AI infers this person is a Data Engineering professional specializing in legal tech and cloud-native solutions.

Experience: 2 yrs 7 mos