Jimmy Rogala — Data Engineer

Gatewatcher 2023 — now

Data Engineer

Built the data pipeline for a Network Detection & Response product (SaaS & On-Premise)
Replaced Logstash with Kafka and rewrote processing from Python to Go
Achieved 10x throughput improvement — single server handling ~1 GB/s of network traffic
Introduced rolling releases, BDD testing (Godog, Behave) and GitLab CI/CD

Go Kafka Elasticsearch PostgreSQL ClickHouse Docker GitLab CI

Evolving Systems 2020 — 2022

Data Engineer

Built a churn prediction module for telecom operators (Digicel Jamaica & Haiti)
Designed a distributed ETL pipeline using Spark Streaming
Migrated on-premise data to GCP (Dataproc, BigQuery)
Benchmarked Neural Networks vs Decision Trees for prediction accuracy

Spark Scala GCP Python Kafka Jenkins

Phoenix-isi 2019 — 2020

Data Engineer

Predicted urban traffic patterns for the Lyon and Ile-de-France metropolitan areas
Trained deep learning models (RNN, LightGBM) on large-scale time series data
Deployed compute clusters with a Kafka streaming stack

Spark PyTorch GCP Python Terraform

Research Internships 2016 — 2018

IMT Atlantique ·

Sapienza Roma · Inria

Modeled IoT network quality for Sigfox using stochastic methods
Optimized distributed graph computation on a 1-billion-edge dataset (GDELT)
Analyzed information propagation across 1M Pinterest users

CLI Ecosystem

Suite of LLM-friendly CLI tools built in Go — controlling home automation, media, and infrastructure from the terminal. Designed for AI assistants and voice control.

Dota 2 Match Prediction 4th / 45

Kaggle competition — predicting the outcome of a Dota 2 match using only the first 5 minutes of game data.

Video Views Prediction 4th / 669

Bitgrit competition — predicting video view counts from metadata.