Adam Wiśniewski is a Senior Data Engineer with 15 years of full-stack and data platform experience, now building scalable data systems at Lyft after recent roles focused on Snowflake, dbt, Dagster and cloud migrations. He is Cloudera CCA-certified in Spark and Hadoop and has repeatedly delivered cross-team, production-grade platforms—ranging from NiFi and Databricks automation at Manulife to a Dagster/dbt-powered data platform at jaris that unified analytics and underwriting pipelines. Comfortable leading small teams or contributing solo, he blends backend service development (FastAPI, Spring Boot) with frontend chops (TypeScript, React) and a pragmatic eye for SQL/schema optimization. Adam’s background includes hands-on integrations with Salesforce, Plaid, payment processors and telemetry systems, and he often abstracts repeatable infrastructure via Terraform, Kubernetes and CI/CD to accelerate cloudification. Notably, he pairs deep distributed-computing expertise with product-focused engineering, making complex ETL and ML-adjacent workflows reliable and deployable across organizations.
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