Swapnil Pardeshi
Full Stack Engineer focused on building products, functional and non functional requirements with extra attention to detail
Education
Indiana University, Bloomington, USA
2021 - 2022
Master's Degree in Computer Science
University of Pune, India
2012 - 2016
Bachelor's Degree in Computer Science
Skills
Fullstack development
Cloud Engineering
Distributed Systems
Kubernetes
Work Experience
Oracle
Apr 2026 - Present
Senior Software Engineer
- ORACLE CLOUD INFRASTRUCTURE:
- Contribute and manage the Management Plane and Serverless Kubernetes components of OKE (Oracle Kubernetes Engine) on Oracle Cloud Infrastructure (OCI).
Bloomberg
Aug 2022 - Apr 2026
Senior Software Engineer
- BLAW SEARCH INFRASTRUCTURE:
- Designed and Implemented Kubernetes DaemonSet-based OOM monitoring for Java services with automated heap dump collection and alerting for faster incident resolution.
- Designed and implemented a highly available frontend asset delivery infrastructure on AWS using multi-region S3 buckets with cross-region replication and CloudFront to serve production web applications.
- Contributed to a Python-based Terraform CI/CD framework on GitLab that automated multi-region AWS infrastructure deployments, reducing deployment time from hours to minutes and improving scalability and reuse across teams.
- Built a webhook-based alert ingestion system to bridge external vendor monitoring tools (New Relic, PagerDuty, Grafana) with internal Bloomberg telemetry, enabling automatic alert propagation into on-call systems, reducing manual escalation delays.
- Led decomposition of a Java monorepo into microservice repositories and developed a Gradle-based artifact publishing plugin accelerating upgrades from Java migration from 11 to 17 and Solr from 8 to 9.
- Implemented distributed tracing using OpenTelemetry (OTel) with a sidecar-based OTel Collector deployment and zero-code instrumentation.
- BLAW CLOUD ENGINEERING:
- Contributed to BLAW's AI search, services and infrastructure on AWS.
- Managing Apache Solr clusters on Kubernetes (EKS) with EC2 and EBS for scalable and highly available search infrastructure.
- Designed a HAProxy-based routing layer for active-active Kubernetes clusters across multiple AWS regions, enabling automated failover between clusters, improving resiliency and availability during regional outages, and eliminating manual service-level endpoint management.
- Contributed and maintained Kubernetes operator to automate operational workflow.
- Designed and implemented a system for refreshing short-lived JWT tokens and injecting them in upstream requests.
- Designed and architected solutions using distributed systems and cloud technologies including Zookeeper, Kafka, Apache Solr, EKS, AWS, Gitlab, Kubernetes, and Terraform.
Qliktag
Nov 2018 - Dec 2020
Fullstack Engineer
- Played an instrumental role in the development of Qliktag’s IoT platform.
- Extensively worked on JSON schemas to create dynamic data models.
- Initiated and implemented around 100+ UI components for frontend project.
- Spearheaded 4 frontend projects along with mentoring 2 junior developers.
- Integrated Google Analytics to track user activities on the application.
- Successfully migrated legacy codebases to React and React native
Particle41
Apr 2018 - Nov 2018
Fullstack Engineer
- Designed and implemented data ingestion pipeline on AWS using servelres architecture.
- Managed deployment of Angular using Cloudfront and S3.
- Wrote AWS lambdas to pull data from 4 third-party APIs and ingest it into DynamoDB on AWS.
- Added content normalisation scripts for structuring and ingesting data into Elasticsearch and MySQL.
- Automated data ingestion process with Lamdas and Cloudwatch Events.
Amura
June 2016 - June 2017
Software Engineer
- Integrated key features using Kookoo, Twilio, and Honeybadger APIs.
- Wired audit logs in the entire code base to perform log processing.
- Wrote 10 cron jobs to pull data from third-party API and normalise it.
- Wrote Python / Ruby scripts to generate custom monthly billing and custom reports for clients with 100% accuracy.
- Followed test-driven development while developing features to improve code coverage by 30%.
Projects
Distributed Key Value Store
Distributed KV store like memcache to implement different levels of consistency.
Python
Multiprocessing
Distributed Map Reduce
Distributed Map Reduce to run on problems like word count and inverted index of document
Python
Multiprocessing
Static Assets Infrastructure
Designed highly available static assets system for frontend using Cloudfront and S3 buckets
CloudFront
S3
Python
Heap Dump Collector
A internal tool to collect memory dumps from java services
Python
Kubernetes
Docker
Stacker
Platform as a service to deploy to Kubernetes
Ruby on Rails
Vuejs
Kubernetes
Alerts Ingestion
Webapp to ingest alarms from thirdparty system into Bloomberg's central system
Nodejs
Typescript
TF-Framework
Terraform Framework to generate parallel Gitlab pipelines in runtime to deploy infrastructure to mulitple AWS accounts and regions simultaneously
Python
Gitlab
Terraform
Qliktag Platform
Qliktag's IOT platform to build digital twin of the products
Nodejs
Angular
MongoDB
ElasticSearch
AWS
Qliktag Digital Interaction
Qlikltag's digital product viewer frontend
Ionic
React
Qliktag Scanner
Qliktag's barcode scanning app
Ionic
React
Vevo Dashboard
Dashboard for ads data
Angular
S3
Athena
Zig4Life
Healthcare content management system curated and approved data
Ruby on Rails
Angular
AWS
ElasticSearch
Sell.do
CRM system for real estate industry
Ruby on Rails
Angular
Backbonejs
Mahadhan
A mobile app for farmers to search fertilizers and stores
Ruby on Rails
API
Asset Management - Multichain
Asset management using multichain (Blockchain) cluster
Nodejs
Blockchain