Abhishek Kumar — Software Engineer

Data Engineer with 4.8 years of experience delivering scalable, cloud-native data solutions across Azure, GCP, and AWS. I specialize in building high-performance ETL/ELT pipelines, automating workflows, and enabling analytics through clean, reliable, and cost-optimized data engineering practices. Proficient in Python, SQL, PySpark, Spark, Databricks, Azure Data Factory (ADF), Azure Synapse Analytics, ADLS, Delta Lake, Apache Airflow, and BigQuery, with hands-on experience in both batch and streaming pipelines. I’ve led cloud migration efforts, modernized data platforms, and built reusable frameworks for ingestion, validation, transformation, and orchestration. My core strength lies in designing modular, efficient, and production-grade pipelines that are performance-optimized, well-documented, and built for long-term scale and maintainability. I follow CI/CD best practices, work in Agile environments, and align engineering solutions with broader business objectives. Alongside core data engineering, I’m passionate about integrating GenAI into the data ecosystem—leveraging tools like LangChain, OpenAI, Gemini, and LlamaIndex to automate metadata discovery, lineage tracking, documentation, and routine engineering workflows. I’ve delivered GenAI-powered use cases using prompt engineering, vector search, and RAG pipelines to enhance productivity and accelerate delivery. I enjoy solving complex data challenges, building reusable and intelligent systems, and staying at the forefront of innovation in the modern data and AI stack.

Stackforce AI infers this person is a Data Engineer specializing in cloud-native solutions and Generative AI integration.

Location: Bangalore Urban, Karnataka, India

Experience: 5 yrs