Backend & data platforms
Hi, I'm Alex Jolicoeur.
Backend engineer and AWS Certified Solutions Architect with 12 years building scalable systems. As a founding engineer, I’ve shipped data pipelines, ML ops, and cloud platforms with an eye on performance, reliability, and cost.
Introduction
I design, develop, and automate data pipelines and ML operations, balancing system performance, reliability, and cost efficiency. I’ve served as a founding engineer in multiple settings and I’m committed to continuous learning and delivering impact with my team.
Skills
Languages, data platforms, orchestration, cloud, and operations—drawn from production work across startups and enterprise teams.
Programming languages
- Python
- TypeScript
- JavaScript
- Bash
- SQL
- C
Frameworks & libraries
- Django
- Flask
- FastAPI
- Pandas
- REST APIs
- JWT
- OAuth
- React (Next.js)
- Node.js (Express)
Data storage & warehousing
- AWS S3, DynamoDB, RDS (PostgreSQL)
- AWS Redshift, Athena, Glue
- AWS OpenSearch
- Elasticsearch
- GCP GCS, BigTable, BigQuery
- MongoDB
- InfluxDB
- Databricks Delta Tables, Lakehouse
Orchestration & streaming
- Apache Airflow
- Kubeflow
- Databricks Workflows
- AWS IoT Core, SQS, SNS, EventBridge, Kinesis, Flink, Step Functions
- GCP Cloud Tasks
- Celery
Compute, caching & edge
- Docker, Kubernetes, Apache Spark
- AWS Lambda, EC2, ECS, EKS, Batch
- GCP Compute Engine, App Engine
- Redis/Valkey, Memcached, AWS CloudFront
- SCADA, CanaryLabs Historian, MQTT, IT/OT networking
AI & operations
- AWS AgentCore, Agentic RAG, function calling / tool-use, prompt engineering
- AWS CloudWatch, CloudTrail
- Grafana, Prometheus
- Terraform, AWS CloudFormation, Alembic
- GitHub Actions, Jenkins