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Data Engineer with 7+ years in PySpark, Databricks, AWS, and Snowflake
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 7+ years of experience in designing and maintaining scalable data pipelines using PySpark, Databricks, AWS, and Snowflake. Proven track record in data ingestion, transformation, and validation across various industries including Insurance and Retail. Expertise in optimizing data workflows with SQL and Python, ensuring high reliability and performance in production environments. Strong analytical skills and collaborative mindset drive effective data solutions aligned with business goals. Good understanding on AIML concepts.
BITS Pilani (WILP)
Master of Technology · AIML
August 1, 2024 – Present
KLEIT
Bachelor of Engineering · Computer Science and Engineering
N/A – June 30, 2018
Accenture
Data Engineer
April 1, 2021 – Present
Bengaluru, Karnataka, India
SLK Software Solutions
Software Engineer
October 1, 2018 – March 1, 2021
Bengaluru, Karnataka, India
AI-driven self-healing workflow
June 22, 2026 – Present
Leading and developing an AI-driven self-healing workflow to automatically detect job failures, analyze error context, and safely re-trigger cloud workflows.
Cultural Fit Analysis
The candidate has experience across different companies (Accenture, SLK Software Solutions) and industries (Insurance, Retail), indicating adaptability. The ongoing Master's in AIML and the AI-driven project demonstrate a proactive approach to learning and innovation, which aligns with a growth-oriented culture. The breadth of skills from traditional ETL (Talend) to modern cloud-native (AWS, Databricks) shows versatility.
Soft Skills & Operational Fit
The candidate's resume highlights strong analytical skills and a collaborative mindset. Experience in leading an AI-driven self-healing workflow suggests initiative and problem-solving capabilities. The ability to support analytics and reporting teams indicates good operational fit and stakeholder communication.