Data Engineer (Snowflake & Databricks)

Candidate Description

With nearly five years of hands-on experience in data engineering, this professional excels at designing resilient cloud data platforms and ELT pipelines across various cloud environments. They bring a versatile toolkit spanning multiple data platforms, underpinned by strong SQL and Python proficiency. Their domain exposure includes consulting engagements at a Technology Services Company and data solutions for retail-centric analytics, showcasing adaptability across industries and technologies.

Adept at performance optimisation, they have delivered tangible improvements such as 60 % reductions in data-load and dashboard-refresh times by refactoring SQL logic and modernising orchestration layers. Their technical acumen extends to dbt-driven transformation modelling, CI/CD automation with Terraform, and rigorous data-quality frameworks. Key contributions include leading large-scale data-migration projects, embedding best-practice data-governance standards, and integrating disparate data-sources into unified analytics platforms.

Demonstrating leadership through mentoring junior engineers and facilitating knowledge-sharing sessions, they foster collaborative, agile-oriented delivery cultures. Their ongoing MBA in Business Analytics complements deep technical skills with strategic insight, enabling them to translate complex data challenges into actionable business value. Adaptable and forward-thinking, this individual offers a well-rounded blend of engineering rigour, solution architecture and stakeholder engagement that drives successful, data-driven outcomes.