Anand Swaminathan

About Anand Swaminathan

Open source:…

Experience

1. Staff Software Engineer

   Lyft

   Apr 2016 — Present

   Currently : Tech Lead of Lyft\'s production Infra - Datastores, Data pipelines, CDC, Kafka, Persistence, Compute, Networking and Observability. Previously Tech lead - Flyte, Airflow, Batch processing, and Streaming compute. Before that: Backend - Datastores - Streaming - Machine Learning platform- Flyte - Open Source Cloud Native Machine Learning and Data Processing Platform - https://lyft.github.io/flyte/- Designed and built end to end orchestration of Flink on Kubernetes. Check out https://github.com/lyft/flinkk8soperator/- Built replication across NOSQL/SQL datastores (Dynamo to Redshift, Elasticsearch, Aurora, etc). Designed and built a technique of delayed merge and version based conflict resolution to identify latest image and eliminate duplicates - a prerequisite for delayed asynchronous block replication. This framework is currently used by over 20 teams and replicates about 200 millions entries every day (at current rate expect that to be a minute in few months) with sub second latency- Improved efficiency to save close to a million dollars in DB/hosting costs. Helped out in DB designs and Operations across several orgs- Built a scaleable infrastructure for Lyft\'s financial reporting (Real time + Offline) on top of the replication framework explained above- Cross region support and failover for Lyft\'s critical databases.

Education

• College of Engineering, Guindy

  Bachelor of Technology (BTech), Information Technology

• Virginia Tech

  Master of Science (MS), Computer Science

Skills

• Ec
• C++
• Angular Js
• Coffeescript
• Jquery
• Data Structures
• Python
• Event Driven Programming
• Problem Solving
• Sql
• Programming
• Java
• Socket.io
• Json
• C
• C#
• Social Graph
• Algorithms
• Web Services
• Javascript
• Microsoft Sql Server
• Django
• D3.js
• Distributed Systems
• Web Applications
• Hadoop
• Soa
• Node.js