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Alex Loddengaard

Alex Loddengaard

San Francisco, CA, United States
Member since November 4, 2015
Alex started his career at Google and then as employee #3 at Cloudera. His most position was as a solutions architect at Confluent, working on Apache Kafka. He’s architected and built apps mostly on the back-end—web stacks, data analytics, data pipelines, data engineering, microservices, and streaming ETL. He’s also done some simple front-end development, full-stack development, and Android apps. He's willing to work onsite in the Bay Area.
Alex is now available for hire
  • Amazon Web Services (AWS), 8 years
  • Apache Kafka, 3 years
  • Kafka Streams, 2 years
San Francisco, CA, United States
Preferred Environment
Linux, mac, Git
The most amazing...
...thing I've built was an active-active multi-data center, 5 gigabytes per second, sub-200 milliseconds data pipeline.
  • Solutions Architect
    2015 - PRESENT
    • Supported Confluent's customers to make them successful with Apache Kafka (operations, deployment, architecture, design, and development).
    • Built an active-active, multi-data center, 5 Gbps, sub-200 ms data pipeline.
    • Worked with close to 100 companies ranging from high-tech startups to large enterprises.
    • Developed data pipelines, microservices, streaming ETL, and streaming analytics.
    Technologies: Kafka
  • Founder and CEO
    2013 - 2015
    Deep Signal
    • Acted as the Entrepreneur in Residence for Innovation Endeavors where I founded and developed the Deep Signal opportunity. Deep Signal was a VC-backed preventative maintenance startup in the oil and gas pipeline space.
    • Discovered and developed the business opportunity and product roadmap.
    • Led the product and engineering team to deliver the initial product.
    Technologies: None
  • Founder and CEO
    2012 - 2013
    • Worked on MemCachier, a Heroku add-on that offers Memcached as a service.
    • Built the entire infrastructure excluding the cache itself.
    • Implemented Ruby on Rails and Stripe for payments.
    • Developed and monitored APIs and dashboards.
    • Product managed the cache which was a custom implementation of the Memcached protocol, written in Go, and designed for multi-tenancy.
    Technologies: Ruby on Rails, Couchbase, AWS
  • Solutions Architect
    2008 - 2010
    • Worked as a product engineer—building tooling and infrastructure in the early days of Apache Hadoop.
    • Helped make Cloudera's customers successful with Hadoop (operations, development, training, architecture, and design).
    • Was hired as the third employee; joining before "big data" was a term.
    Technologies: Hadoop
  • Apache Kafka Client Examples (Development)

    When I'm working with Confluent customers, often I walk them through Apache Kafka client examples. This repository contains some example Java clients.

  • Active-active Multi-data Center, 5 Gigabytes per Second, Sub-200 Millisecond Latency Data Pipeline (Development)

    I architected, implemented, deployed, and operated an active-active multi-data center, 5 gigabytes per second, sub-200 millisecond latency data pipeline for a large technology company. The proof-of-concept was a success.

  • Languages
    Java, Ruby, Python
  • Tools
    Kafka Streams, Git, GitHub
  • Platforms
    Apache Kafka, Amazon Web Services (AWS), Heroku
  • Frameworks
    Ruby on Rails (RoR), Bootstrap
  • Libraries/APIs
  • Paradigms
  • Storage
    Google Cloud, PostgreSQL
  • Bachelor's degree in Computer Engineering
    2004 - 2008
    University of Washington - Seattle, WA, USA
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