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Data Engineer with less than a year in ETL pipelines & Cloud Data Platforms
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
DataOps Intern at Sigmoid with hands-on experience designing and developing scalable ETL pipelines using Python, SQL and PySpark. Experienced with modern data platforms including Azure Databricks, Delta Lake and Azure Data Factory for building reliable and automated data workflows. Familiar with cloud-based data architectures across Azure, AWS and GCP and passionate about building efficient data engineering solutions for large-scale analytics systems.
Thakur College of Engineering and Technology
B.Tech · Computer Science
N/A – June 30, 2026
Sigmoid
DataOps Intern
January 1, 2026 – Present
India
COVID-19 Data Analytics System
June 18, 2026 – Present
Developed automated ingestion pipelines using Azure Data Factory and PySpark to process healthcare datasets. Processed over 500K+ healthcare records to analyze outbreak trends and infection growth across regions. Implemented Delta Lake architecture for reliable and versioned data processing. Built Power BI dashboards for time-series visualization and comparative analytics.
Formula 1 Racing Analytics Platform
June 18, 2026 – Present
Built an end-to-end ETL pipeline using Azure Databricks, Azure Data Factory and Azure Data Lake to process large racing datasets. Processed more than 1M+ racing records and implemented optimized PySpark transformations reducing runtime by 40%. Designed curated analytics datasets stored in Azure SQL for downstream analytics consumption. Developed interactive Power BI dashboards to analyze driver performance, lap timings and race statistics.
Built multiple end-to-end cloud ETL pipelines using Azure Databricks, PySpark and Delta Lake.
Unknown
June 1, 2026 – Present
150+ DSA Problems Solved on LeetCode.
LeetCode
June 1, 2026 – Present
Selected for competitive DataOps Internship at Sigmoid Analytics.
Sigmoid Analytics
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's involvement in personal projects like 'Formula 1 Racing Analytics Platform' and 'COVID-19 Data Analytics System' showcases initiative and a passion for data engineering. The DataOps internship at Sigmoid Analytics aligns well with a data-driven culture. The breadth of skills across different cloud platforms and tools indicates adaptability and a willingness to learn, which are positive cultural fit indicators. However, as an intern, the depth of experience in collaborative, complex enterprise environments is yet to be fully proven.
Soft Skills & Operational Fit
The candidate demonstrates a proactive attitude through personal projects and securing a competitive internship. Collaboration with cross-functional teams and Agile practices indicate good operational fit. The automation of workflows and focus on pipeline reliability suggest an understanding of operational excellence.