Senior Data Engineer | 5+ Years Experience | Spark, SQL, Python

Specialist in Data Engineering and Scalable Data Processing

Specialist in Data Engineering and Scalable Data Processing, with a strong track record of building end-to-end data platforms and intelligent applications. Proficient in designing and deploying robust, modular pipelines using tools like Databricks (PySpark, Delta Lake), DBT, Airbyte, and Azure Synapse, capable of processing datasets at the scale of billions of records. Experienced in orchestrating workflows with Temporal, Dagster, and Prefect, and optimizing performance with Trino and well-tuned cluster configurations.

• Skilled in managing both relational and non-relational databases, creating highly performant data stores tailored to analytical and operational needs.
• Adept at transforming raw data into actionable insights, exposing datasets through serverless SQL pools or interactive dashboards, and delivering high-impact visualizations to stakeholders.
• Innovative and versatile, with hands-on experience building LLM-based applications using OpenAI API, LangChain, embeddings, and vector stores to power intelligent user interactions.
• Strong background in containerization (Docker) and CI/CD (Bitbucket) to ensure fast and reliable deployments.
• Known for rapid adaptability, clear documentation, and the ability to thrive in fast-paced, cross-functional environments.