Data Engineering (Snowflake, Databricks, BigQuery)

Are you aspiring to become a Data Engineer or looking to advance your career in the data domain? In this session, I provide personalized technical guidance and career mentorship based on 24+ years of experience leading global data and cloud engineering teams at S&P Global.

We’ll discuss:

• Understanding Data Engineering fundamentals — pipelines, ETL/ELT, data modeling, orchestration, and lakehouse architectures.
• Exploring tools and technologies like Snowflake, Databricks, Spark, Python, Airflow, SQL, and AWS/Azure data services.
• Guidance on resume building, interview preparation, and how to stand out in AI-driven and cloud-first data organizations.
• Insights on career paths, certifications, and industry trends shaping the future of data engineering.

Whether you’re a student, early-career professional, or transitioning from software to data roles, this session helps you build clarity, confidence, and a roadmap for success.