Shirshanka Das

CEO

San Francisco, California, United States20 yrs 6 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Led architecture for LinkedIn's GDPR strategy.
  • Co-founded Acryl Data, raising over $30 million.
  • Architected Espresso, supporting LinkedIn's data requirements.
Stackforce AI infers this person is a SaaS and Data Infrastructure expert with a focus on scalable systems.

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Skills

Other Skills

Distributed SystemsOnline AdvertisingC++ArchitectureComputer ScienceScalabilityRESTAgile MethodologiesPerlPythonJavaDatabasesSystem ArchitectureMySQLAlgorithms

About

I grew up in a sleepy town in Bihar, India, where mathematics was practically in the water. My region of the country-bred some of the greatest thinkers of our time, including Buddha, Chanakya, and dozens of literary scholars and philosophers. It was inspiring, yet intimidating….trying to measure up to that level of greatness. My mother was a professor, and my father was an engineer who traveled the world. From their experiences, I developed an early interest in learning how diverse communities fit together and build connections. I first got a taste of computers one summer while hanging out on my mom’s campus. When no one was around, I’d slip into the only classroom with an IBM, and teach myself how to build a game. In the end, it didn’t work - but my passion was piqued. I earned my Ph.D. in computer science at UCLA - the “birthplace of the internet” - and from there, my career in software engineering has led me to some incredible companies, including PayPal, Yahoo, and LinkedIn. I spent 10 years navigating the complex data challenges that came up as LinkedIn grew to become one of the most influential platforms in the world. I was the lead engineer and technical architect behind LinkedIn's data platform, responsible for data and metadata management, including key projects like GDPR - with a team of 150 developers. As I learned more about the challenges that came with complex data ecosystems, I developed DataHub, an open-source metadata platform that helps address issues that arise when managing and leveraging data at scale. The more the platform grew - the more we relied upon it at LinkedIn - the more I knew I was onto something. In 2021, I worked with my former colleague and now business partner Swaroop Jagadish to launch Acryl Data, an enterprise version of DataHub. We brought together our unique experiences supporting data infrastructure at some of the leading companies in the industry to offer a developer-first platform for metadata management. In three years, we’ve raised $30 million+, and are helping clients like PayPal, Notion, Zendesk, and others do amazing things with their data. When I’m not in the midst of startup life - which is almost always - I’m swimming…I like to stay healthy too.

Experience

Datahub

2 roles

Co-Founder and CTO

Jun 2023Present · 2 yrs 10 mos

CEO and Co-Founder

Jan 2021Jun 2023 · 2 yrs 5 mos

The apache software foundation

Committer and PPMC Member, Apache Gobblin (Incubating)

Feb 2017Present · 9 yrs 2 mos

Linkedin

3 roles

Principal Staff Software Engineer

Promoted

Mar 2016Jan 2021 · 4 yrs 10 mos

  • Architect for LinkedIn's GDPR Strategy, including metadata, data retention, deletion and access.

Senior Staff Software Engineer

Aug 2013Mar 2016 · 2 yrs 7 mos

  • I am the technical lead for the Data Analytics Infrastructure team at LinkedIn.

Staff Software Engineer

Apr 2010Aug 2013 · 3 yrs 4 mos

  • I worked on online data infrastructure at LinkedIn and helped in growing it from 5 rockstar engineers to 50.
  • I was part of a small team that re-wrote Databus, LinkedIn's change capture pipeline that transports database changes downstream to search indices, graph engines and other stream processing systems. Databus currently supports Oracle, MySQL and sharded MySQL databases, provides low millisecond latencies, server-side filtering, infinite look-back and a host of other features only advertised in expensive commercial solutions. Databus was open-sourced in 2013.
  • I was one of the original architects and authors of Espresso, a distributed document-oriented database which was built to support LinkedIn's growing data requirements. Espresso is a timeline-consistent source-of-truth OLTP system designed for web scale applications and workloads. It supports structured nested schema based records, secondary indexes, full-text search, some transactions, change stream subscription and seamlessly integrates with a Hadoop-based analytics warehouse. Espresso currently is the primary datastore supporting LinkedIn's premier applications: Homepage, Inbox, Profile and the Ads pipeline besides other smaller applications.
  • I was also part of the Apache Helix project which was incubated as part of Espresso development and later spun out as a separate open source project. Apache Helix aims to simplify the development of distributed systems by providing a framework that can coordinate node local and cluster-wide operations in a safe manner while providing locality and partition awareness.

Yahoo!

Principal Technical Yahoo!

Jun 2008Apr 2010 · 1 yr 10 mos

  • Technically:
  • High-performance serving systems
  • Multi-threaded applications on SMP architectures
  • C++
  • Features:
  • Real-time bidding components for the Rightmedia Exchange
  • Infrastructure projects for improved latency and stability

Paypal

2 roles

Application Architect

Aug 2006Jun 2008 · 1 yr 10 mos

  • Web Frameworks, Session Stores, Search and History

Senior Software Engineer

Oct 2005Aug 2006 · 10 mos

Education

UCLA

Ph.D. — Computer Science

Jan 2001Jan 2005

Indian Institute of Technology, Delhi

B.Tech — Computer Science & Engg.

Jan 1997Jan 2001

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