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An experienced Senior Data Engineer specializing in scalable data architecture, distributed computation, and stream pipelines optimized for high-performance multi-terabyte platforms.
Hi Connections! I'm excited to share a quick update about my career path
and focus. I bring 4.2 years of verified corporate experience across enterprise FinTech and Insurance domains, combined
with an intensive multi-year track record of self-directed technical practice. My background includes leading backend
tech teams, query performance tuning, and delivering robust end-to-end data infrastructure configurations.
Alongside my corporate tenure, I focus deeply on advanced data engineering architectures, building high-throughput
data simulation lakehouses and low-latency streaming pipelines. My technical portfolio spans architecting high-performance
ETL/ELT pipelines using PySpark, Polars, and DuckDB, engineering vectorized machine learning simulation engines, and
implementing automated database validation mechanisms to process millions of records.
To validate my analytical skills, I completed specialized certifications in Google Cloud Vertex AI Prompt
Design and Generative AI applications, mastering modern data processing, automation, and visualization
frameworks. I am actively seeking full-time, In-Office Senior Data Engineer opportunities in Bengaluru to
design scalable, business-ready data platforms.
Enterprise tech and team leadership
Accelerated via standalone DuckDB architecture
Simulated via vectorized Polars pipelines
Enforced via automated validation filters
Delivered via partitioned Parquet views
End-to-end data architectures successfully evaluated
Advanced data architecture, distributed computation, and stream pipelines optimized for multi-terabyte platforms.
Senior Data Engineer | PySpark, AWS Cloud, Polars, DuckDB, ETL/ELT Pipelines | Multi-Terabyte Platforms | Bengaluru
Engineered scalable solutions, led teams, and delivered impactful software across full-stack and data-driven projects.
Senior Data Engineer skilled in Python pipelines, ML systems, .NET backend layers, and complex SQL.
Built a high-throughput 43M+ daily stream pipeline, cutting system event anomaly identification latency by 45% through optimized in-memory analytics.
Built real-time financial ETL pipelines integrated with strict database-layer execution constraints to process over 100K+ daily snapshots smoothly.
Architected transactional warehouses and fast execution analytical pipelines to transform 1M+ logs, boosting core dashboard query speeds by 3.5x.
Learned machine learning concepts, algorithms, and Python techniques for data analysis, predictive modeling, and building machine learning solutions.
Implemented automated multi-layered data schema checks and governance rules across multi-terabyte data streams to ensure compliance.
Developed a dynamic e-commerce website using Django, featuring product management, user authentication, secure payments, and responsive UI.
Architected secure enterprise service layers and transactional SQL databases to manage policy workflows, optimize document handling, and secure data integrity.
Developed scalable backend systems to automate business rule checks, streamline claim data extractions, and enforce strict database validation constraints.
Engineered high-performance analytical view layers and optimized data aggregates to power executive reporting dashboards and streamline data-driven decision workflows.
Built resilient hardware-in-the-loop validation blocks to stream live sensory feeds, automate embedded firmware audits, and enforce precise device performance constraints.
Built robust telemetry ingestion blocks to stream load cell metrics, automate device calibration audits, and enforce precise signal precision constraints.
Architected resilient transactional storage layers to stream parallel inserts, automate schema evolution audits, and enforce strict data integrity constraints.
Innovative web applications, real-time tracking systems, data analytics dashboards, voltage stabilizer enhancements, and machine learning-driven stock analysis projects.
Accelerated transactional throughput across core business processing applications.
Minimized production system runtime anomalies via structural query optimization.
Optimized validation turnaround timelines using automated embedded script harnesses.
Enforced precise hardware sensory calibration constraints across target system boards.
Recognized achievements and validated skills through training, projects, and assessments, showcased in software development, data analytics, ML, web solutions, and leadership.
Mangalore University
Advanced Electronics • Research • ProjectsVivekananda Degree College
Core Electronics • Embedded Systems3rd Prize – University Electronics Project Exhibition - 2013
Star Performer Recognition - 2019
Coursera • IBM
Mind Luster
Skill Nation
DevTown
Perfect Plan B
Udemy
Enterprise Systems
Available for technical consultations, architectural evaluations, and senior data engineering commitments.
Actively onboarding for Senior Data Engineer roles in Bengaluru
(Immediate Availability). Fully prepareed to deploy production-grade
distributed architectures, vectorized PySpark pipeline infrastructure, and
enterprise data lakehouses.
Thank you for reading and supporting my journey!
Senior Data Data Engineer | Distributed Pipelines | PySpark • AWS Cloud Ecosystem | Onsite Bengaluru
Puttur, Karnataka, India
Available for immediate corporate relocation protocols.
Bengaluru, Karnataka, India
Open to strategic onsite commitments, hybrid schedules, or core pipeline modernizations.
