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Data Engineer with 1+ years in 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
Data Engineering professional with hands-on experience in Databricks, PySpark, SQL, and Azure Data Factory. Contributed to large-scale data migration projects involving pipeline transformation, data validation, and debugging ingestion workflows across multiple environments (TEST, UAT, PROD). Familiar with data modeling concepts and supporting pipeline orchestration for reliable data processing.
JECRC Foundation, Jaipur
Bachelor of Technology (B.Tech) · Engineering
N/A – June 30, 2024
Celebal Technologies
Data Engineering Intern
April 1, 2025 – March 1, 2026
India
Data Pipeline Practice using Databricks ADF
June 24, 2026 – Present
Built pipelines for data ingestion, transformation, and Delta table creation. Implemented PySpark transformations including joins, aggregations, and schema enforcement on structured datasets.
Databricks Certified Data Engineer Associate
Databricks
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience as a Data Engineering Intern at Celebal Technologies, working on a large-scale data migration program for a Fortune 500 client, indicates an ability to work in structured, high-stakes environments. The personal project on Databricks ADF shows initiative and a proactive approach to learning and applying skills. The breadth of technical skills (Python, SQL, Spark, Azure services) and the Databricks certification suggest a commitment to continuous learning and professional development, which aligns well with a growth-oriented culture. The focus on data integrity and validation also points to a detail-oriented and responsible work ethic.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical and debugging skills, quick learning ability, attention to detail, and effective communication. These traits are crucial for a Data Engineer role, especially in troubleshooting complex data issues and collaborating with teams and clients. The experience in documenting issues and participating in client discussions suggests good operational fit for roles requiring stakeholder interaction.