Vishal Patidar — Data Engineer

Data Engineer with 2+ years of experience designing and building scalable data pipelines across Azure and AWS ecosystems. I specialize in transforming raw data into reliable, analytics-ready datasets that drive business decision-making. In my current role, I have delivered multiple production-grade data solutions, working with technologies like Databricks, Kafka, Snowflake, and Airflow. My experience includes building Medallion architectures, implementing SCD Type 2 models, and developing ingestion frameworks with upsert-based backfill to ensure data consistency and reliability. I have worked on large-scale data processing (millions of records daily), optimized data recovery and pipeline performance, and contributed to cost-efficient cloud migrations, achieving measurable business impact. I am particularly interested in real-time data systems and event-driven architectures, and I enjoy solving complex data problems involving scalability, performance, and reliability. Tech Stack: Python, SQL, PySpark, Kafka, Airflow, Databricks, Snowflake, AWS, Azure Currently exploring advanced data engineering patterns and building real-time data pipelines to solve business-critical problems. Open to opportunities in data engineering roles where I can contribute to building scalable and impactful data systems.

Stackforce AI infers this person is a Data Engineer specializing in cloud-based data solutions and scalable architectures.

Location: Pune City, Maharashtra, India

Experience: 2 yrs 10 mos