Summary
Overview
Work History
Education
Skills
Projects
Languages
Websites
Timeline
Hi, I’m

Prateek Mulye

Senior Software Engineer
Santa Barbara,United States
Prateek Mulye

Summary

Experienced Senior Backend Software Engineer with 10+ years of experience and a strong track record of building reliable, scalable systems that streamline data processing and improve performance. Delivered end-to-end backend services and pipelines in Java and Elixir, cutting reporting and query latency by up to 60% through orchestration and database optimization. Focused on resilient infrastructure with Kubernetes, Argo CD, and CI/CD, enabling capacity-safe deployments and reducing operational friction. Skilled in Kafka-based architectures, observability with OpenTelemetry and Datadog, and working cross-functionally with product and data teams. Known for balancing deep technical execution with pragmatic collaboration, mentoring engineers, and shipping features that support business goals.

Overview

10
years of professional experience

Work History

HG Insights Inc.
Santa Barbara, United States

Senior Software Engineer
09.2021 - 08.2025

Job overview

  • Designed and built internal tools that supported firmographic enrichment and contract data processing, used daily by 50+ analysts, engineers, and operations.
  • Designed and delivered a geo-standardization system that cleaned and normalized 15M+ U.S./Canada company records, creating the enterprise framework for all future data ingestion and UI workflows. Solely owned architecture through phased rollout with EVP Data Solutions and other stakeholders, boosting downstream data quality and customer trust.
  • Delivered a contract processing pipeline that supported 80K+ records with job orchestration, status tracking, and data validation, reducing reporting turnaround time by 60 percent while avoiding overload on shared compute and queues.
  • Implemented spend automation logic that eliminated manual reconciliation steps, increased coverage, and improved accuracy for client-facing metrics.
  • Optimized PostgreSQL queries with advanced indexing and partitioning on 30M+ records, cutting dashboard latency by over 60%.
  • Instrumented services end-to-end with OpenTelemetry and Datadog (traces, logs, SLO dashboards), adding saturation and queue-depth alerts that improved on-call triage and shortened time-to-identify regressions.
  • Built ingestion pipelines using Oban Pro for high-volume batch jobs with retry, backoff, idempotent execution, and failure routing, improving reliability and preventing thundering-herd effects.
  • Drove enhancements to our CI/CD pipelines: automated schema validation, dynamic staging setups, and feature flag toggles via LaunchDarkly.
  • Managed deployments with Argo CD across staging and production, enabling feature-branch deploys, enforcing sync and health policies, and tuning rollout and replica settings for capacity-safe releases and fast rollbacks.
  • Supported engineer onboarding by documenting backend workflows, reviewing design proposals, and debugging production issues cross-functionally.

Cognizant Technology Solutions
Vienna, United States

Software Engineer
11.2018 - 09.2021

Job overview

  • Developed and maintained backend microservices using Spring Boot and Kafka for Capital One's data pipeline infrastructure.
  • Owned inter-service communication and data consistency for Kafka-driven workflows (Spring Boot + DynamoDB), implementing DLQ strategy, bounded retry/backoff, and replay tooling to guarantee idempotent recovery while protecting downstream capacity.
  • Built service virtualization tools with OpenResty (NGINX + Lua) that simulated upstream dependencies and enabled 12K+ TPS testing environments.
  • Created Lambda-based processors that ingested, transformed, and validated financial transaction data across asynchronous flows, with batch sizing, rate limits, and timeouts to prevent resource contention.
  • Spearheaded the migration of legacy Java systems to modular services with clearly defined contracts, improving deploy isolation and release velocity.
  • Improved CI pipelines using Jenkins and GitHub Actions, introducing artifact caching and selective testing strategies.
  • Partnered with QA to enforce strong integration test coverage, feature flag rollout safety, and defect triage.
  • Collaborated across teams on architectural reviews, ensuring system reliability and data compliance.

Tuutkia LLC
San Jose, United States

Software Engineer
09.2018 - 11.2018

Job overview

  • Performed analysis, design, development, unit-testing, and documentation for the cloud-based platform for managing and selling leads/contacts.

Illinois Department Of Public Health
Springfield, United States

Software Engineer Intern
08.2017 - 06.2018

Job overview

  • Designed and developed a data processing and reporting application that can handle over 1 million records, reduced manual data upload time by 30% and saved the client's time by 50%.

AurionPro Solutions LTD
Pune, India

Software Engineer
03.2013 - 09.2015

Job overview

  • Developed and implemented secure login and anti-phishing functionality for a greenfield online banking project for a bank in Kenya using Java, Struts, Hibernate, and Oracle DB.

Education

University of Illinois at Springfield
Springfield, IL

Master of Science from Computer Science
07.2018

University Overview

University of Pune
Pune

Bachelor of Science from Computer Application
05.2012

University Overview

Skills

  • Java and TypeScript
  • Elixir and Python
  • Microservices architecture
  • Data processing and analysis
  • JavaScript frameworks
  • SQL databases
  • SpringBoot
  • GraphQL APIs
  • React and Nextjs
  • Cloud services (AWS, Azure)
  • Container orchestration (Docker, Kubernetes)
  • Infrastructure as code (Terraform)
  • Continuous integration/deployment (GitHub Actions, Jenkins)
  • Monitoring and logging tools (DataDog, Splunk)
  • Message brokers (Apache Kafka, IBM MQ)
  • Task orchestration (Apache Airflow, Oban Pro)

Projects

Projects

Slipstream - F1 Predictor, Stack: Next.js, TypeScript, Node.js on Vercel. LLM-orchestrated Q&A and race prediction. Aggregates race results, driver and team stats, track attributes, and weather to produce podium and points probabilities with concise rationales. Node.js data-refresh job and API aggregator feeding the Q&A and prediction services. Prompt routing, tool calls, guardrails, and CI/CD for stable, repeatable outputs and deployments.

Languages

English
Native/ Bilingual
Italian
Limited
German
Elementary
Spanish
Elementary

Timeline

Senior Software Engineer
HG Insights Inc.
09.2021 - 08.2025
Software Engineer
Cognizant Technology Solutions
11.2018 - 09.2021
Software Engineer
Tuutkia LLC
09.2018 - 11.2018
Software Engineer Intern
Illinois Department Of Public Health
08.2017 - 06.2018
Software Engineer
AurionPro Solutions LTD
03.2013 - 09.2015
University of Illinois at Springfield
Master of Science from Computer Science
University of Pune
Bachelor of Science from Computer Application
Prateek MulyeSenior Software Engineer
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