Data Engineer
Architecting Scalable Data Ecosystems
For over a decade, my career has been deeply focused on building and optimizing data architectures. Currently, I am the lead Data Engineer responsible for my company's core data ecosystem. I navigate complex challenges on a daily basis, such as ensuring data consistency and managing volumes of over 10 TB in the data platform.
Over the past couple of years, I have designed and implemented a modern Data Lakehouse from the ground up. My daily stack involves Apache Spark (PySpark), Apache Iceberg, ClickHouse, and Apache Airflow. I don't just use managed cloud services; I personally model, tune, validate, and maintain these tools directly on Linux servers within Oracle Cloud.
Before this, I spent years integrating APIs and flat files to build the foundation for executive dashboards, as well as developing and optimizing extraction pipelines for PostgreSQL Data Warehouses. To complement my heavy hands-on infrastructure experience with modern cloud architecture standards, I am also an Azure Certified Data Engineer.
Software Engineering & Project Management
While my current expertise lies in data, my professional foundation is built on robust software engineering and project management—a combination that deeply influences how I work today.
Earlier in my career, I spent over five years as a Software Developer. I built complex, distributed systems (such as CORBA) using C, C++, and Java across highly heterogeneous operating systems, including Linux, Solaris, SGI Irix, and Windows. Alongside this, I actively administered Linux and Solaris servers.
Additionally, I spent several years in technical leadership and project management roles. I hold an International MBA in Project Management, as well as PMP and some Oracle certifications like OBIEE Specialist.
What Sets Me Apart
My background in low-level software development and project management isn't just past experience—it is the lens through which I approach data engineering today. It sets me apart in a few key ways:
- Deep System-Level Insight: Because of my years coding in C/C++ and managing OS infrastructure, I understand how software interacts with hardware. When I optimize a PySpark job or tune a complex PostgreSQL architecture, I understand the underlying memory, processing, and networking mechanics—allowing me to extract maximum performance from the tools I use.
- Business Alignment & Leadership: My project management background ensures that I don't just build pipelines in a vacuum. I understand how to gather requirements, communicate effectively across departments, and ensure that the data architecture actually drives business value and executive decision-making.
- Resilient Problem Solving: Having built distributed systems long before modern cloud solutions became the standard, I know how to navigate and integrate heterogeneous, complex environments gracefully. I build data systems that are not just fast, but highly resilient and observable.