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Data Engineer with 1+ years in ETL/ELT pipelines, Cloud, and AI/ML data systems.
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Assessing your cultural and operational fit
Data Engineer with 1.3+ years of experience designing and optimizing ETL/ELT pipelines, data warehousing solutions, and cloud-based analytics platforms. Proficient in Python, SQL, AWS, GCP (BigQuery), Apache Airflow, DBT, Spark, and Kafka for building scalable, production-grade data systems. Experienced in Retrieval-Augmented Generation (RAG), OpenMetadata, and Model Context Protocol (MCP) to enable AI-assisted metadata discovery and intelligent data platform capabilities.
CDAC – SunBeam Institute of Information Technology, Pune
PG Diploma · Big Data Analytics (PG-DBDA)
August 1, 2024 – June 30, 2025
MIT Academy of Engineering (SPPU), Pune
B.Tech · Mechanical Engineering
August 1, 2020 – June 30, 2024
DataArch Consultancy LLP, Pune
Data Engineer
April 1, 2025 – Present
Pune, Maharashtra, India
Real-Time Media Streaming Analytics Platform
June 18, 2026 – Present
• Architected an end-to-end pipeline using Apache Kafka for ingestion, Spark for stream processing and sentiment analysis, and Cassandra for low-latency storage. • Automated workflow orchestration with Apache Airflow, ensuring reliable scheduling, monitoring, and failure recovery across the pipeline. • Visualized real-time sentiment trends and KPIs via Power BI dashboards, delivering actionable business insights.
Cultural Fit Analysis
The candidate's experience at DataArch Consultancy LLP, a consultancy, suggests adaptability to diverse client needs and project types. The breadth of technologies listed (AWS, GCP, various databases, multiple visualization tools) indicates a versatile skill set. The academic project on a 'Real-Time Media Streaming Analytics Platform' aligns well with modern data engineering challenges, showing initiative and a problem-solving mindset. The combination of practical experience and academic pursuit in Big Data Analytics indicates a strong commitment to the field and a continuous learning attitude, which is a good cultural fit for dynamic technical environments.
Soft Skills & Operational Fit
The candidate demonstrates a proactive approach to optimizing existing systems (e.g., cron to Airflow, Glue to DBT) and automating manual tasks. The project descriptions indicate an ability to work on end-to-end solutions, from architecture to visualization. The experience with RAG and OpenMetadata suggests an interest in cutting-edge data technologies and a willingness to explore innovative solutions. The candidate's academic background in Big Data Analytics further supports a foundational understanding of the field.