Alex Loddengaard, Software Developer in San Francisco, CA, United States
Alex Loddengaard

Software Developer in 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




San Francisco, CA, United States



Preferred Environment

Git, MacOS, Linux

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: Apache 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.
  • 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: Amazon Web Services (AWS), AWS, Couchbase, Ruby on Rails (RoR), Ruby
  • 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, Python, Ruby
  • Frameworks

    Spring, Ruby on Rails (RoR), Bootstrap, Hadoop
  • Tools

    Kafka Streams, Git, GitHub
  • Platforms

    Apache Kafka, Amazon Web Services (AWS), Heroku, Linux, MacOS
  • Other

    Software Development, Mega, Kafka, AWS
  • Libraries/APIs

  • Paradigms

  • Storage

    PostgreSQL, Google Cloud, Couchbase


  • Bachelor's degree in Computer Engineering
    2004 - 2008
    University of Washington - Seattle, WA, USA

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