Theo Lebrun
Senior Data Engineer - New York City, USA
Welcome
I am a seasoned Data Engineer and Technology Consultant with a vast experience in cloud computing, databases, and software development. With expertise in a range of tools and technologies including AWS, Kafka, Databricks, and Python, I have helped numerous clients optimize their data pipelines meeting and exceeding their goals.
My technical expertise are matched by my passion for sharing my knowledge with others. I have authored multiple blog posts covering and breaking down technical topics such as high-scaled streaming development with Kafka or Databricks Tips and Tricks. I have also presented in multiple conferences such as DevNexus, Connect.Tech and RVATech Data Summit.
I have a very good knowledge of JHipster and I can provide expertise about it. I have been using JHipster for more than 5 years and also contributed to the project.
Talks
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2024-03-09 - DataTune - Build next generation Big Data applications with Delta Lake
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2024-01-25 - RVA Data Engineering - Build next generation Big Data applications with Delta Lake (Video)
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2023-10-26 - Connect.Tech - Creating a Modern Web App Using Spring Boot and Vue.js with JHipster (Video)
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2023-04-06 - DevNexus - Creating a Modern Web App Using Spring Boot and Vue.js with JHipster
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2023-03-30 - RVA Tech DataSummit - Easily transform data in your warehouse using DBT (Data Build Tool)
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2020-06-25 - Datastax Webinar - Successful scale-out data approach for Financial Services with Apache Cassandra™ (Video)
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2020-05-13 - VueDC - Creating a Modern Web App Using Vue.js and Spring Boot with JHipster (Video)
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2019-02-22 - JHipster NYC Meetup - Workshop - Introduction to Vue.js with JHipster
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2018-08-21 - JHipster NYC Meetup - Brace yourself, JHipster 5 is out
Blog posts
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2023-07-24 - How AWS Glue Data Quality Helps You Achieve Compliance For Your Data Lake With Confidence
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2023-07-05 - An Introduction to Delta Lake: The Parquet Open-Source Storage Layer for Big Data
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2023-04-18 - Streamline your Data transformations by running dbt directly on Databricks using jobs
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2023-02-18 - Boost your Databricks Jobs and Query Performance
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2023-01-23 - Capture Data History With SCD2 Using Databricks Delta Live Tables
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2022-07-01 - Data+AI Summit 2022 - Top Announcements and Recap
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2022-04-17 - Transform Data in your Warehouse using dbt, Airflow, and Redshift
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2021-04-08 - Sync two S3 buckets using CDK and a Lamdba layer containing the AWS CLI
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2021-02-01 - Process CSVs from Amazon S3 using Apache Flink, JHipster and Kubernetes
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2021-01-14 - Use Stargate by DataStax to effortlessly store and query your data
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2020-08-03 - Saving and Analyzing Trending Topics on Twitter using AWS Athena, Lambda, and CDK
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2020-06-23 - Apache Spark 3.0
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2020-05-05 - Build an event sourcing system on AWS using DynamoDB and CDK
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2020-02-05 - AWS Cognito and JHipster for the LOVE of OAuth 2.0
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2019-11-04 - Deploying a JHipster app to AWS using Elastic Beanstalk
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2019-07-08 - JHipster Conf 2 - Hottest JHipster Day of the Year
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2019-03-10 - Building a Speech-Enabled app using Twilio and AWS with JHipster
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2019-02-21 - Creating a modern Web app using Vue.js and Spring Boot with JHipster
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2019-01-22 - Improving the access-control of a JHipster application
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2018-11-07 - NYC subway data with Kafka Streams and JHipster (part 2 of 2)
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2018-11-06 - NYC subway data with Kafka Streams and JHipster (part 1 of 2)
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2018-08-06 - HipSlacker - A Slack bot for JHipster
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2018-06-26 - Brace yourself, JHipster 5 is out!
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2018-04-09 - How to efficiently use JHipster in your company