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Backend Engineer with 4+ years in Python, PySpark, Perl & Data Pipelines
Backend and AI Data Engineer with 4+ years of experience designing and building scalable distributed data processing systems, AI-enabled pipelines, and production-grade backend applications across healthcare, banking, and insurance domains. Strong expertise in Python, PySpark, Spark SQL, data modeling, SQL optimization, and CI/CD-driven deployments, with hands-on experience developing LLM-powered applications, Retrieval-Augmented Generation (RAG) systems, and GenAI-assisted automation workflows. Experienced in large-scale data engineering, feature engineering, data quality frameworks, anomaly detection pipelines, and cloud-native architectures on AWS. Proven ability to bridge data engineering, machine learning, and generative AI technologies to deliver intelligent automation, real-time analytics, and business-driven insights.
Ganadipathy Tulsi's Jain Engineering College
Bachelor of Engineering · Computer Science
August 1, 2021 – June 30, 2021
Neurealm
Software Engineer – Python | PySpark | Perl
January 1, 2025 – May 1, 2026
Chennai, Tamil Nadu, India
RRD
Software Engineer – Perl Developer
May 1, 2022 – January 1, 2025
Chennai, Tamil Nadu, India
Python for Data Science & Machine Learning
Unknown
January 1, 2026 – Present
GitHub Copilot for Developers
Unknown
January 1, 2026 – Present
AWS Essential Training for Developers
Unknown
January 1, 2026 – Present
Perl 5 Essential Training
Unknown
January 1, 2026 – Present
AWS Solutions Architect Associate (SAA-C03) Prep
Unknown
January 1, 2026 – Present
Advanced Python: Working with Data
Unknown
January 1, 2026 – Present
Machine Learning with Python
Unknown
January 1, 2025 – Present
Advanced Python Projects
Unknown
January 1, 2025 – Present
Programming in Python
ICLC
January 1, 2022 – Present
Cultural Fit Analysis
The candidate's experience across healthcare, banking, and insurance domains, coupled with diverse technical skills (Python, PySpark, Perl, Java, AWS, LLM/RAG), indicates adaptability and a broad understanding of different industry requirements. Their involvement in mentoring and team collaboration aligns well with a culture that values knowledge sharing and growth. The focus on AI-assisted development also suggests an innovative and forward-thinking approach.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through experience in 24x7 production support, root cause analysis, and managing Linux production systems. Their mentorship experience and active participation in Agile/Scrum ceremonies indicate good team collaboration and communication skills. The use of AI coding assistants also suggests an adaptive and efficiency-driven mindset.