Overview
Most companies don't have a data problem, they have a pipeline problem. Elytic Labs designs and builds production-grade data pipelines that are reliable, observable, and built to scale. Whether you're ingesting raw event streams, consolidating siloed databases, or rebuilding a fragile ETL system that's become a liability — we architect solutions your team can actually maintain and trust.
Led by Evan Watson, every engagement starts with understanding your data sources, business logic, and growth trajectory before a single line of code is written. The result is infrastructure that fits your stack today and adapts as your needs evolve.
What's included
- Pipeline design & architecture review — current state audit, bottleneck identification, scalability roadmap
- ETL/ELT build & migration — batch and streaming pipelines, legacy system replacement, zero-downtime cutover
- Data modeling & transformation — dbt models, schema design, dimensional modeling, SCD patterns
- Observability & monitoring setup — pipeline health dashboards, alerting, data quality tests, SLA conformance
- Documentation & handoff — runbooks, architecture diagrams, and team onboarding included with every project
Tools & technologies
Apache Spark · Apache Airflow · dbt · Kafka · PostgreSQL · BigQuery · Snowflake · AWS Glue · Redshift · Python · Terraform
Ideal for
- Startups outgrowing spreadsheets and manual exports
- Data teams needing a senior architect without a full-time hire
- Engineering leads inheriting a brittle ETL system to modernize
- Analytics teams waiting too long for clean, reliable data