Jason Teoh

Jason Teoh Email and Phone Number

Software Engineer at Databricks @ Databricks
160 Spear Street 13th Floor San Francisco, CA 94105 United States
Jason Teoh's Location
Seattle, Washington, United States, United States
Jason Teoh's Contact Details

Jason Teoh work email

Jason Teoh personal email

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About Jason Teoh

Jason Teoh is a Software Engineer at Databricks at Databricks. He possess expertise in r, distributed systems, git, algorithms, rest and 26 more skills. Colleagues describe him as "During my first internship at LinkedIn, I had the pleasure of working with Jason as my mentor. Jason was a perfect mentor: he instilled in me great engineering practices and techniques while fostering my creativity and eagerness to find new ways to solve problems. Additionally, Jason is hard-working when he needs to be, and always incredibly helpful. I highly recommend Jason for his skills as an engineer, effectiveness as a mentor and co-worker, and an expert at foosball.", "Jason is a great engineer. I worked with Jason for almost a year, and it was an absolute pleasure. He was always enthusiastic and super dependable. I loved how he was forever keen on learning and looking for newer better ways of doing things. He was very proactive and self-motivated, and an excellent team player. I remember we used to have some interesting design and code discussions. Not to mention that he's super fun, and it was great having him around!", and "Jason interned in the Data Services team at Linkedin and later joined us back as a full time Software Engineer on the Member Segmentation and Targeting project that we were working on.Phase 1 of the project was already rolled out when he joined; it did not take him long to come up to speed with various technologies and tools (Hadoop,Pig,Hive,Azkaban,etc) and start contributing towards key pieces of the system.I mentored him for a brief while and can vouch for his ability to execute complex tasks with ease. He has attention to detail, an appetite to learn and a reputation of delivering quality code.He brought a refreshing mix of passion, thoroughness and positivity to the projects he worked on. He would be an asset to any organization and I would gladly work with him again!"

Jason Teoh's Current Company Details
Databricks

Databricks

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Software Engineer at Databricks
160 Spear Street 13th Floor San Francisco, CA 94105 United States
Website:
databricks.com
Employees:
51
Jason Teoh Work Experience Details
  • Databricks
    Software Engineer
    Databricks Jan 2024 - Present
    San Francisco, Ca, Us
  • Acryl Data
    Software Engineer
    Acryl Data Sep 2023 - Jan 2024
    Mountain View, Ca, Us
    *Built multi-region, multi-cloud data ingestion processes for the data lake.*Built scalable Airflow pipelines across dozens of customers to aggregate aspect-level metadata into structured entity datasets, available for analytics consumption.*Worked with customer success team and customers to deliver standalone structured entity dataset process as well as data inquiries.*Planned long-term roadmap for data lakehouse including priorities, use cases, and risks.
  • Twitter
    Sr. Software Engineer
    Twitter Jul 2022 - Aug 2023
    San Francisco, Ca, Us
    *Built new Beam and Flink infrastructure for on-premise streaming and batch computation pipelines within the Twitter tech ecosystem*Assisted the billing team in migrating use cases and developing scalable on-premises Beam-on-Flink solutions*Developed and supported configuration-driven streaming+batch aggregation and serving platform that supports critical revenue use cases (DataApi)*Managed analytics query server with pluggable backends (e.g., Bigtable, BigQuery) as well as general-purpose data loading workflows for loading data (Large Data Collider)
  • University Of California, Los Angeles
    Phd Candidate
    University Of California, Los Angeles Sep 2016 - Jun 2022
    Los Angeles, Ca, Us
    My research focuses on improving developer experiences with Big Data systems, with an emphasis on performance and correctness debugging. My prior works investigate how to enhance performance debugging for computation skew in Apache Spark and improve data provenance precision in dataflow applications through a combination of taint analysis and influence-based aggregation functions. More recently I have explored techniques which leverage targeted fuzz testing of individual user-defined functions in tandem with skew-inspired mutation operators to generate workloads which reproduce specified performance symptoms, particularly in scenarios where no suitable datasets are available.
  • University Of California, Los Angeles
    Teaching Assistant
    University Of California, Los Angeles Sep 2021 - Dec 2021
    Los Angeles, Ca, Us
    CS143: Data Management Systems (Prof. Junghoo (John) Cho)Hybrid (in-person + remote) instruction for upper division data management course on how to store, manage, and access large-scale data using data management systems. Emphasis on RDBMS and SQL with an introduction to other systems such as Apache Spark and MongoDB.
  • University Of California, Los Angeles
    Teaching Assistant
    University Of California, Los Angeles Sep 2020 - Dec 2020
    Los Angeles, Ca, Us
    CS 130: Software Engineering (Prof. Miryung Kim)Fully remote instruction for upper division software engineering course covering systematic engineering methods for large-scale software development: design and modeling methods; collaborative development environment; object-oriented design patterns and refactoring; build & integration; unit testing & regression testing; bug finding; software inspection and verification.
  • University Of California, Los Angeles
    Teaching Assistant
    University Of California, Los Angeles Sep 2017 - Dec 2017
    Los Angeles, Ca, Us
    CS143: Database Systems (Prof. Carlo Zaniolo)Upper division database course with an emphasis on RDBMS and SQL and some introduction to more advanced systems such as Apache Spark.
  • Google
    Software Engineering Intern
    Google Jun 2019 - Sep 2019
    Mountain View, Ca, Us
    Designed and implemented an automated rule-based diagnostics framework to analyze query execution traces for performance problems and anomalies. Initial rules were designed based on collaboration with other Spanner developers, with room for enhancements and extension. Analysis results are integrated into an interactive query plan debugging tool for presentation and further debugging.
  • Linkedin
    Senior Software Engineer
    Linkedin May 2015 - Aug 2016
    Sunnyvale, Ca, Us
    (Continued LISTT/NCRM project from Software Engineering role until end of September 2015)ThirdEye: Open source anomaly detection framework for monitoring business metrics.* Utilizes Pinot (realtime distributed OLAP datastore with horizontal scaling and low latency).* Designed and implemented multifaceted dashboard for straightforward anomaly investigation.* Designed and implemented scalable anomaly detection framework capable of supporting anomaly history/lookback, feedback loops, distributed execution, email alerts, and configurable anomaly detection algorithms with a generic API.* Integrated dashboard and anomaly detection framework to provide a seamless user experience between anomaly detection configuration and investigation.* Onboarded use cases from data bootstrapping to server setup.
  • Linkedin
    Software Engineer
    Linkedin Jun 2013 - May 2015
    Sunnyvale, Ca, Us
    LISTT/NCRM: Suite of self-service applications for computing custom member-levelattributes and targeting specific member audiences:* Enhanced computational flow to improve operational stability and data quality as LinkedIn grew to 400+ million members with over 500 metrics and dimensions per member in the data set coming from queries written in SQL (Teradata), Hive, and Pig as well as via user interaction on the web application.* Leveraged Datafu Hourglass to speed up key attribute computation and reduce delivery time.* Enhanced UI functionality to reduce business users’ turnaround time for audience segmentation such as segment upload and segment preview in real time.* Independently built flow monitoring CLI and graph UI to provide time and stability analytics on thecomputational flow as a whole.
  • Linkedin
    Software Engineer Intern - Data Services
    Linkedin May 2012 - Aug 2012
    Sunnyvale, Ca, Us
    Backend development for self-service business analytics dashboard providing key metrics and dimensional splits. Designed REST API for frontend client interaction as well as an OLAP cube caching layer with background refresh daemon.
  • Uc Berkeley Residence Hall Unit 1
    Academic Services Assistant
    Uc Berkeley Residence Hall Unit 1 Aug 2011 - Mar 2012
    Assist residents with center resources and equipment, organize Game Nights (social events for residents, with food, board games, video games, and drinks).

Jason Teoh Skills

R Distributed Systems Git Algorithms Rest Maven C Apache Pig Jquery Debugging Ruby Scala Gradle Scheme Hadoop Eclipse Latex Angularjs Java Apache Spark Foosball Hive Javascript Ruby On Rails Spring Framework Sql Python Research Computer Science Lucene Bash

Jason Teoh Education Details

  • Ucla
    Ucla
    Computer Science
  • University Of California, Berkeley
    University Of California, Berkeley
    Computer Science

Frequently Asked Questions about Jason Teoh

What company does Jason Teoh work for?

Jason Teoh works for Databricks

What is Jason Teoh's role at the current company?

Jason Teoh's current role is Software Engineer at Databricks.

What is Jason Teoh's email address?

Jason Teoh's email address is jt****@****cla.edu

What schools did Jason Teoh attend?

Jason Teoh attended Ucla, University Of California, Berkeley.

What skills is Jason Teoh known for?

Jason Teoh has skills like R, Distributed Systems, Git, Algorithms, Rest, Maven, C, Apache Pig, Jquery, Debugging, Ruby, Scala.

Who are Jason Teoh's colleagues?

Jason Teoh's colleagues are Anup Chenthamarakshan, Parimarjan Negi, Katie Orton, Raela Wang, Gurpreet Nanda, Conor Mahoney, Mba, Arun Wagle.

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