1:1 mentoring for data engineers
Focused sessions on PySpark, cloud architecture, regulated systems, and senior engineering decisions. I work with engineers who want to go deeper — faster.
Four areas I go deep on
PySpark & Data Engineering
Pipeline architecture, performance tuning, partitioning strategies, and production hardening for large-scale Spark workloads.
Cloud Architecture
Platform design across Azure, AWS, and Databricks — lakehouse patterns, cost control, and ops-ready system design.
Compliance & Governance
PIPEDA, HIPAA, and SOC2-aware data design. PII handling, audit trails, role boundaries, and regulated environment delivery.
Career & Leadership
Navigating senior and staff engineering roles, technical interviews at data-heavy companies, and stakeholder communication.
Best suited for engineers going deeper
- Mid-level engineers targeting senior or staff roles
- Engineers moving from analytics into data engineering
- Teams dealing with slow or fragile PySpark pipelines
- Professionals building in regulated (health, finance, gov) environments
- Anyone preparing for a technical data engineering interview
- Duration
- 45 minutes via video call
- Prep
- Share context 1–2 days ahead — we move faster that way
- Availability
- EST mornings, afternoons, and evenings
- Follow-up
- Written notes summarising key decisions and next steps
- Confirmation
- I'll confirm or suggest a new time within 24 hours of your request
Request your appointment
Pick a date that works for you. I'll confirm or suggest an alternative within 24 hours — and reach out to the email you provide to finalise the time.