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Data Engineer with 1+ years in Azure Data Factory, Databricks & Apache Spark.
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Aspiring Data Engineer equipped with knowledge of core concepts in Azure Data Factory, Azure Logic Apps, and Azure Data Lake Storage, seeking to contribute to Data Engineering/Analytics team. Solid Understanding with medallion architecture and Azure Databricks, eager to leverage technical skills in a dynamic internship setting to support data-driven projects and initiatives.
Jawaharlal Nehru Technological University Ananthapuram
Bachelor of Technology · E.C.E
N/A – June 30, 2025
Quantrail Data Pvt. Ltd
Data Engineer
April 1, 2025 – Present
Chennai, Tamil Nadu, India
Optimizing Data Processing and Improving Data Quality with Data bricks and Delta lake
June 22, 2026 – Present
Designed and developed ELT pipelines using Azure Data Factory to orchestrate data ingestion from multiple sources (Azure SQL database, Data Lake storage, Azure blob storage. Optimized the data storage, by implementing Medallion Architecture on Azure Databricks Lakehouse. Enabled seamless access to raw data for processing and standardization using Databricks notebooks by Mounting ADLS to Azure Databricks. Performed data standardization in the Bronze layer to meet business requirements and converted the data into parquet files. Engineered automated processes with schema validation and read-write frameworks in data processing workflows to avoid redundant processing, and Implemented data quality checks in the Silver layer ensuring high-quality data before further processing. Spearheaded the optimization of data processing workflows using Databricks and Delta Lake, reducing the data processing time and enhanced data quality, reliability and consistency through automated validation protocols and ACID transactions in Delta Lake. Aggregated data in the Gold layer, creating Delta tables and views for reporting and analytics, and visualized insights using Databricks Dashboards to enable access to actionable insights.
Databricks Certified Data Engineer Associate
Databricks
January 1, 2024 – Present
Microsoft Certified: Azure Data Engineer Associate
Microsoft
January 1, 2024 – Present
Cultural Fit Analysis
The candidate's project experience demonstrates a focus on data engineering best practices (Medallion Architecture, data quality checks, ACID transactions), which aligns well with a data-driven culture. The mention of both Azure and AWS technologies, along with certifications, indicates a willingness to learn and adapt to different cloud environments. The target role of Data Engineer is a direct match for the candidate's stated aspirations and experience. However, the experience is limited to one company and one primary project, which might suggest a narrower exposure to diverse team dynamics or project types.
Soft Skills & Operational Fit
The candidate lists 'Pro-active' and 'Adaptability' as soft skills. The project description indicates an ability to optimize workflows and implement quality checks, suggesting a proactive approach to problem-solving. The breadth of technologies mentioned (Azure, AWS) also points to adaptability. However, without direct assessment, these are inferred from self-reported skills and project descriptions.