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Daniel Templeton

Engineering Leader at 1up Health

Daniel Templeton is a highly qualified technology professional with extensive experience in software engineering and management. He earned a Master of Science in Computer Science from Stanford University and a Bachelor of Engineering from Vanderbilt University, as well as completing studies at the Mississippi School for Mathematics and Science.

In his career, Templeton has held numerous leadership roles in well-respected technology organizations. He is currently a Senior Software Engineering Manager at Twitter, where he is responsible for leading software development teams and implementing engineering best practices.

Templeton was previously an Apache Hadoop Pmc Member and Apache Hadoop Committer at The Apache Software Foundation, where he contributed to the development of this open-source software framework for distributed storage and processing of big data. He also worked as an Engineering Manager, Software Engineer, and Senior Certification Developer at Cloudera, a company that provides enterprise software solutions for managing and analyzing large-scale data sets.

In addition to his industry experience, Templeton has taught as an Adjunct Lecturer at Stanford University and held various roles at Oracle and Sun Microsystems. Throughout his career, he has demonstrated a strong commitment to advancing technology and promoting innovation.

Overall, Daniel Templeton is a highly accomplished and respected professional with a diverse background and extensive experience in software engineering, management, and education. His knowledge, skills, and leadership abilities have made him a valuable asset to a range of organizations throughout his career.

Highlights

Nov 4 · linkedin

I'm sure everyone has heard the Twitter layoff news by now. I survived, but lots of folks in the Data Platform team did not. Time for Operation Valhalla.

Twitter's Data Platform team is world class, working at scales that push the limits of the technologies. We operate one of the world's largest Druid clusters, one of the world's largest non-federated Hadoop clusters, and we have tested the boundaries of what's possible in Google Cloud. We work on Druid, Beam, Presto, Hadoop, Airflow, Flume, Scribe, Kafka, Avro, Parquet, Thrift, Dataflow, BigQuery, and a host of other technologies. We know how to work at scale and the importance of data security and privacy. And we understand what it means to work in a team.

If you have big data roles open in your org, please reply here with a job posting. I will share your posts with the folks who have been impacted, and hopefully we can make some matches.

#hadoop #cloud #data #datasecurity #bigdata #twitter #lovewhereyouworked

Mar 3 · linkedin

Friends, Apache committers, lend me your ears! I am #hiring SWEs, SREs, and EMs to work on Twitter's big data platform. I'm looking for committers and experienced contributors on Hadoop, Flume, Kafka, Spark, Beam, Airflow, etc. I'm hiring for several teams, including data processing, data catalog, data retention, data replication, Hadoop, orchestration, and data privacy and protection. All locations (US, Canada, Central America, South America, Europe, India, and full time remote) and all levels.

(Note that Twitter can only hire in countries where we already have a presence, which unfortunately does not include Hungary. If you're willing to relocate, though, we have presence in most of Western and Central Europe, and I'd be open to a conversation about relocating to the US.)

Why Twitter? Because Twitter provides the magic combination of an amazing work culture coupled with edge-pushing, challenging work. I have never worked anywhere that had a more employee-centric approach to doing business. On the work side, we're handling data at outrageous scales. I can't share the deets publicly, but we're pushing the ceiling of what our technologies can handle. And we love open source! And the cloud!

If that sounds interesting to you, ping me. I'm happy to explain more and answer any questions. Most of the below reqs are feeder reqs, meaning that I have additional headcount behind each of those reqs.

https://smrtr.io/85XsN https://smrtr.io/8dMjg https://smrtr.io/85_pv https://smrtr.io/8dMCJ https://smrtr.io/5t_kp https://smrtr.io/5SFYy

#lovewhereyouwork #lovewhoyouworkwith #culture #equalopportunities #diversity #bigdata #apache #hadoop #cloud #opensource

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Daniel Templeton
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Location

Palo Alto, California, United States