Gabriel Gonçalves

I’m a Senior Data Engineer focused on building production-grade data platforms and pipelines that improve efficiency, data quality, and decision-making. At Novi Labs, I built a modern AWS-native data platform and pipeline ecosystem for Oil & Gas analytics products, including migrating from on-premise systems to a Snowflake architecture and establishing dbt transformations and modeling orchestrated with Airflow.

Before that, I delivered enterprise Snowflake data platform solutions and robust customer-facing analytics pipelines while managing warehouse/platform operations, security, and cost optimization on AWS at Billtrust. I also served on technical assessment work for senior engineering candidates at Perform, combining hands-on data engineering expertise with careful evaluation of data, AI engineering, and software engineering competencies. Earlier roles strengthened my end-to-end capability—designing an AWS Lakehouse (S3 + Delta Lake, Glue, Athena) with validation and orchestration, building analytics dashboards and OLTP-to-warehouse pipelines in Airflow, and developing large-scale automation systems using Python, Lambda, boto3, and Airflow orchestration—plus foundational expertise from my Bioinformatics background, including building genomic alignment/analysis pipelines with GATK.