HARSH SINGH — Data Engineer

I am a Data Engineer with over 3 years of experience building scalable, high-performance data solutions. I specialize in Databricks Lakehouse, Delta Lake, Spark Structured Streaming, and Azure Data Services to design robust ETL pipelines, optimize workflows, and enable real-time analytics. At Infosys, I delivered measurable impact by improving data workflow performance by 14% through SQL tuning and script optimization, and reducing analytics pipeline processing time by 27% by implementing Delta Lake-based architectures. My expertise spans SQL performance optimization, data governance, metadata management, and dimensional modeling. I have hands-on experience with streaming data pipelines (Apache Kafka, Spark), AI-driven analytics solutions (LangChain, Streamlit), and cloud-based orchestration tools like Azure Data Factory and Azure DevOps. Certified Databricks Data Engineer Associate, I am passionate about designing modern data platforms and enabling businesses to make data-driven decisions. ✅ Key Skills: Databricks | Delta Lake | Spark SQL | Apache Kafka | PySpark | Azure Data Factory | Azure DevOps | ETL Design | Data Governance | Streaming Data | SQL Performance Tuning Open to global opportunities with visa sponsorship and relocation.

Stackforce AI infers this person is a Data Engineer specializing in scalable data solutions and real-time analytics.

Location: New Delhi, Delhi, India

Experience: 3 yrs 9 mos