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Data Engineer III
• Extensive experience of end to end Data Analytics and reporting involving multiple terabytes of daily data volume for client mainly from the Power & Utility, Healthcare industry • Experience in Hadoop,Hive,Spark with Scala,Python,R,Kafka,Oracle Golden Gate,NiFi,UC4,Shell Scripting and SQLs • Involved in analyzing Production issues, doing root cause analysis and providing quick resolution. Worked on Performance analysis and enhancements by creating use case specific Data compaction automation process, Hive partiton syncing utility and end to end orchestration for data pipelines. • In depth exposure to development of enterprise systems following SDLC and Agile/Hybrid-Agile methodologies. • Managed key client discussions and cross-functional communications leading to outstanding project outcomes.
School Of Electronics Engineering, KiiT University
Bachelor of Technology(B. Tech), Electronics and Electrical Engineering
January 1, 2014 – January 1, 2018
Deloitte
Data Engineer III
May 1, 2024 – Present
Hybrid
Deloitte
Consultant
May 1, 2021 – April 1, 2024
Hybrid
Deloitte
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Microsoft Certified: Azure Database Administrator Associate
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The Complete Oracle SQL Certification
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Oracle SQL Performance Tuning
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Applied Machine Learning in Python
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Machine Learning by Stanford University on Coursera
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Core Java
Hewlett Packard Enterprise
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Cultural Fit Analysis
The candidate has a consistent career path within Deloitte, indicating stability. The breadth of certifications across data engineering, machine learning, and cloud technologies suggests a proactive learning attitude. However, the lack of diverse project experience outside of Deloitte and the absence of detailed project descriptions make it difficult to fully assess cultural fit and adaptability to varied environments. The target role of 'Backend Engineer' is a partial match with the 'Data Engineer' experience, suggesting some alignment but also potential gaps in core backend development practices.
Soft Skills & Operational Fit
The provided data does not contain sufficient information to assess soft skills or operational fit. The psychometric test score is 0, indicating no data for evaluation.