Edgar Feliu

Data Engineering & Workflow Orchestration

Orchestrated Enterprise Data Pipelines: Designed, automated, and optimized complex data workflows using Apache Airflow / Astronomer, ensuring highly reliable data delivery for downstream analytics.

Streamlined Ingestion with Fivetran: Managed and monitored automated Fivetran connectors, troubleshooting ingestion bottlenecks and maintaining high data integrity across diverse source systems.

DevOps & Cloud Infrastructure (Azure)

Deployed Astro Remote Architecture: Built and maintained Astronomer Remote infrastructure within Azure using Helm charts, managing scalable AKS (Azure Kubernetes Service) environments.

Secured & Optimized Cloud Ecosystems: Configured and managed core Azure infrastructure, leveraging Key Vaults for secret management, Blob Storage for scalable data lakes, and Managed Instances for robust database performance.

Automated CI/CD & Monitoring: Built end-to-end continuous integration and deployment (CI/CD) pipelines to automate infrastructure and DAG deployment.

Proactive Infrastructure Monitoring: Implemented comprehensive monitoring and alerting frameworks for both Airflow tasks and Azure infrastructure.

• • Architected end‑to‑end data pipelines to deliver critical KPIs for Risk, Finance, and Fraud, utilizing Data Storytelling to translate complex metrics into a new enterprise semantic layer.

• • Led a cross‑departmental pilot program to evaluate the strategic migration from SAS Enterprise Guide to Dataiku, aligning technical capabilities with business user requirements.

• • Directed the migration of legacy operational data infrastructure from AIX servers to a modern Linux environment, ensuring zero downtime and improved system performance.

• • Designed and automated optimized ETLworkflows for recurringworkloads, leveraging QlikSense for data visualization and proactive monitoring of business‑critical dashboards.

• • Championed system reliability by monitoring server health (CPU/Disk) and streamlining incident response in strict adherence to Service Level Agreements (SLAs).

• • Promoted Data Governance and GDPR compliance by implementing robustmetadata management and data lineage trackingwithin the internal analytics ecosystem.

• • Advocated for the integration of Agentic AI Orchestration, developing Proof of Concepts (PoCs) to demonstrate how autonomous agents could optimize data workflows and decision‑making processes.

• • Tech Stack: Dataiku, SAS Enterprise Guide, QlikSense, SQL, Python, Linux (AIX), GenAI, Data Governance.

• • Collaborated within a cross‑functional Agile team of five to engineer a financial crime detection engine, identifying irregular behaviors and mitigating institutional risk.

• • Partnered with business stakeholders to orchestrate the end‑to‑end migration of the Analytics Engine to GCP, leveraging BigQuery and Dataproc to meet evolving data requirements.

• • Engineered and optimized automated ETL pipelines for scheduled job execution using Bash and Control‑M, significantly improving data pro‑ cessing efficiency.

• • Automated deployments via CI/CD, Docker, and Terraform (IaC), fostering a culture of technical excellence and environment consistency.

• • Ensured system stability by providing critical technical support and clear communication to stakeholders during complex production code releases. GCP Dataproc, Composer), Spark (Scala), Airflow, Docker, CI/CD, Terraform, Control‑M, Bash, Hive, Git.