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Data Engineer with 2+ years in PySpark, SQL & Azure Databricks
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineer with 2+ years of experience building scalable ETL pipelines using PySpark, SQL, and Python. Experienced in Azure Databricks, Snowflake, and Data Warehousing concepts including Medallion Architecture and Delta Lake. Skilled in data transformation, query optimization, pipeline automation, and data quality validation with a focus on performance optimization and scalable data processing.
KLS Gogte Institute of Technology
Bachelor of Technology · Information Science
N/A – June 30, 2023
Tata Consultancy Services
Data Engineer – Morgan Stanley (Client)
January 1, 2024 – Present
Bengaluru, Karnataka, India
Udemy Certified Databricks Data Engineer Associate
Udemy
June 1, 2026 – Present
Udemy Certified PySpark End-to-End Developer Course
Udemy
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has experience with a major consulting firm (TCS) and a large financial client (Morgan Stanley), which suggests an ability to adapt to structured corporate environments. The mention of Generative AI utilization indicates an openness to new technologies and continuous learning. However, with only one professional experience listed and no personal projects, the diversity of experience and exposure to different team cultures is limited. The certifications show initiative for self-improvement, which is a positive indicator for cultural fit.
Soft Skills & Operational Fit
The candidate's resume highlights practical application of technical skills in a client-facing role (Morgan Stanley), indicating an ability to work within operational constraints and deliver business value. The automation of Databricks cluster lifecycle suggests a focus on efficiency and cost-saving, which aligns with operational best practices. However, without specific soft skill assessments or project details beyond technical tasks, it's difficult to fully assess collaboration, problem-solving under pressure, or communication in a team setting.