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Data Engineer with 2+ years in Azure Data Factory, Databricks & PySpark
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Azure Data Engineer with ~3 years of experience designing scalable data pipelines using Azure Data Factory, Azure Databricks, and ADLS Gen2. Skilled in building ETL pipelines, implementing Delta Lake architectures, and optimizing large-scale data processing using PySpark and SQL. Experienced in delivering curated datasets for Power BI analytics and enterprise reporting.
St. Ann's College for Women, Hyderabad
MCA - Master of Computer Applications
August 1, 2021 – June 30, 2023
Sarojini Naidu Vanita Maha Vidyalaya
B.Sc - MECS
August 1, 2017 – June 30, 2020
Tata Consultancy Services (TCS)
Azure Data Engineer
September 1, 2022 – April 1, 2025
India
Manufacturing & Sales Analytics Platform
June 22, 2026 – Present
Designed a Manufacturing & Sales Analytics platform on Azure for enterprise reporting. Ingested structured and semi-structured data from ERP systems into ADLS Gen2 using Azure Data Factory. Implemented data quality validation checks to ensure consistency and reliability. Developed PySpark transformations in Azure Databricks to process large-scale transactional datasets. Built curated datasets in Azure Synapse Analytics supporting KPIs like production efficiency, sales revenue, inventory turnover, and demand forecasting
Python for Data Science
IBM SkillsBuild & SkillUp by Simplilearn.
June 1, 2026 – Present
SQL
Frontlines Edutech Pvt. Ltd.
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience at Tata Consultancy Services (TCS) and project work demonstrate exposure to enterprise-level data engineering challenges, which aligns well with a professional, structured environment. The breadth of skills across Azure services, data warehousing, and programming languages indicates adaptability and a willingness to learn new technologies. The certifications in SQL and Python for Data Science further support a proactive learning attitude. The project diversity, though limited to one detailed example, shows a practical application of skills in a manufacturing and sales domain, suggesting a good fit for roles requiring robust data solutions.
Soft Skills & Operational Fit
The candidate's resume highlights achievements such as reducing data processing time by 30% and leading complex data transformation efforts, indicating a results-oriented approach and potential for leadership. The focus on dynamic and parameterized pipelines suggests an ability to think about scalability and maintainability. However, without specific psychometric or English test results, a comprehensive assessment of soft skills like logical reasoning, work attitude, stress handling, and team collaboration cannot be fully determined.