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Data Engineer with less than a year in real-time data analytics pipelines with Azure services.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Computer Engineering undergraduate with hands-on experience in building real-time data analytics pipelines using Azure services. Skilled in SQL, Python, Databricks, Azure Data Factory, Synapse Analytics, and Power BI, with a strong foundation in data engineering concepts such as Bronze-Silver-Gold architecture, ETL pipelines, and data visualization. Seeking an Internship role in Data Engineering / Data Analytics.
ISBM College of Engineering, Pune
BE · Computer Engineering
August 1, 2023 – June 1, 2027
Marathwada Mitra Mandal College of Science & Commerce, Pune
HSC
August 1, 2021 – April 1, 2023
Vidya Vinay Niketan English Medium School, Pune
SSC
June 1, 2018 – May 1, 2021
Real-Time Data Analytics Pipeline
October 1, 2024 – Present
Architected and deployed an end-to-end real-time data analytics pipeline using GitHub API, enabling continuous ingestion of live data into a scalable Bronze-Silver-Gold data architecture. Automated data ingestion and orchestration using Azure Data Factory, reducing manual data handling and improving pipeline reliability through dynamic parameters, loops, and reusable linked services. Processed and transformed raw data into clean, analytics-ready datasets using Apache Spark in Azure Databricks, improving data quality, consistency, and query performance. Implemented incremental data loading and validation checks to ensure accuracy, fault tolerance, and optimized execution across pipeline runs. Designed and managed enterprise-grade data storage using Azure Data Lake Gen2 with secure access via managed identities. Built optimized SQL views, external tables, and transformations in Azure Synapse Analytics, enabling fast querying and structured access for downstream analytics. Integrated Power BI with Synapse SQL endpoint to deliver interactive dashboards and near real-time insights for business-level decision making.
ChatGPT & AI Tools
Unknown
June 1, 2026 – Present
Introduction to SQL
Unknown
June 1, 2026 – Present
SQL for Beginners
Unknown
June 1, 2026 – Present
Databricks Fundamentals
Unknown
June 1, 2026 – Present
The Complete Python Bootcamp
Unknown
June 1, 2026 – Present
Scaling with Google Cloud Operations
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's single project demonstrates a strong alignment with the target role of Data Engineer, showcasing relevant technologies and architectural patterns. The certifications indicate a proactive learning attitude and a breadth of interest in cloud platforms (Azure, Google Cloud) and AI tools. However, the lack of diverse project experience or team-based work in the provided data limits the assessment of broader cultural fit beyond technical alignment.
Soft Skills & Operational Fit
The candidate lists teamwork, communication, problem-solving, organization, and presentation as soft skills. The project description indicates an ability to architect and deploy complex systems, suggesting good problem-solving and organizational skills. However, without direct assessment data, the operational fit regarding these soft skills remains unvalidated.