Data Engineer with 3+ years in PySpark & Azure
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Assessing your cultural and operational fit
Results-driven Big Data Engineer with 3 + years of experience in designing and developing scalable ETL pipelines and data architectures on Azure and Databricks platforms. Expertise in PySpark, Spark, and Azure Data Services (ADF, ADLS) with hands-on experience in Lakehouse implementations and performance optimization techniques such as Liquid Clustering, Z-Ordering, and Vacuum. Skilled in building efficient data ingestion APIs, implementing CI/CD automation, and delivering high-quality data solutions for enterprise clients.
Annamalai University
Master of Computer Applications (MCA)
August 1, 2020 – June 30, 2022
Don Bosco College, Thiruvalluvar University
Bachelor of Computer Applications (BCA)
August 1, 2015 – June 30, 2018
(Belgium Project)
Data Engineer
December 1, 2023 – June 1, 2024
India
Diggibyte Technologies Pvt Ltd
Data Engineer
May 1, 2023 – Present
India
Diggibyte Technologies Pvt Ltd
Data Engineer Intern
May 1, 2023 – August 1, 2023
India
Databricks Professional
Unknown
June 1, 2026 – Present
Generative AI
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate has experience working with a leading telecommunications client and a 'Belgium Project' involving multilingual datasets, indicating adaptability to diverse project requirements and client needs. The role as a Data Engineer aligns directly with the target role, showing a clear career path. However, the overall project diversity is limited to data engineering tasks within a single company and one contract, which could be expanded.
Soft Skills & Operational Fit
The candidate's resume indicates experience in team collaboration and implementing complex business logic, suggesting a good operational fit. The mention of 'Leadership & Mentoring' in technical skills, though not explicitly detailed in experience, hints at potential for growth in this area. The 'Best Performer – 2024' award suggests a strong work ethic and results orientation.