rows analysed
Snowflake data-quality investigation across nearly 1 TB.
DATA PLATFORMS / CLOUD ENGINEERING / DELIVERY
Nick Salionov
Senior technology leader who still builds.
I lead data platforms, cloud engineering and complex delivery—combining technical direction with hands-on Python, SQL, Snowflake, AWS and Azure engineering.
01 / SELECTED IMPACT
Measured outcomes, not abstractions.
Azure reduction
Actual year-on-year infrastructure expenditure.
AWS reduction
Measured across six months before and after implementation.
rewards processing
Manual preparation replaced by automated processing.
03 / SELECTED WORK
Complex systems, practical results.
CASE_01
Financial services / Data quality
Finding the defect inside 41 billion rows
Traced false-positive alerts through Snowflake and Matillion logic, isolated the affected transaction type, escalated a clear diagnostic case and validated corrected behaviour after remediation.
- Snowflake
- Matillion
- SQL
- ETL
CASE_02
Automation / Partner experience
Turning three person-days into under one hour
Led retailer-rewards delivery from requirements and architecture through infrastructure, data engineering, integration and production launch, while reducing the payment cycle to within two calendar days.
- Python
- Snowflake
- AWS
- Terraform
CASE_03
Cloud modernisation / Migration
Rebuilding critical services on AWS
Migrated business-critical workloads from Azure to AWS and rebuilt a legacy service whose core vendor components were being retired, combining direct implementation with third-party team supervision.
- Lambda
- ECS Fargate
- RDS
- Terraform
CASE_04
Data platform / Self-service
A configurable route into Snowflake
Led and helped build a web and command-driven ingestion framework that processed more than 200 million rows while reducing repetitive SQL for object creation, pipelines and transformations.
- FastAPI
- Jinja
- SQS
- Snowflake
04 / CORE EXPERTISE
A leadership profile with engineering depth.
Technical direction & delivery
People management, technical strategy, stakeholder alignment, third-party team supervision and end-to-end ownership.
Platforms & engineering
Snowflake, Matillion, SQL, ETL/ELT, data-quality investigation, modelling, warehousing and ingestion design.
Architecture & modernisation
AWS, Azure, Terraform, event-driven systems, migration, cost optimisation, security and regulated delivery.
Backend & automation
Python, FastAPI, REST and third-party APIs, Pydantic, SQLAlchemy, Pytest, Docker and CI/CD.
05 / CAREER SIGNAL
Infrastructure roots. Cloud evolution. Data leadership.
Senior Data Engineer
Snap Analytics · client engagement with St. James's Place
Client-facing Snowflake and Matillion data-quality investigation in financial services.
Lead Data Platform Engineer
Philip Morris International · London
Data-platform leadership, cloud engineering, software delivery and modernisation across one continuous employment record.
Cloud Engineer
Philip Morris International · Kraków
AWS architecture, stakeholder ownership and the programme that reduced AWS expenditure by 30%.
Infrastructure Engineering
Enterprise and regional roles
Systems, networking, databases, suppliers, budgets and technical authority across complex estates.
CURRENT EXPLORATION / INDEPENDENT
Contemporary AI engineering, grounded in delivery practice.
Independent work with coding agents, Model Context Protocol integrations, reusable skills and guardrails, local models through Ollama and LM Studio, and an image-recognition module using Gemma models. This complements—not overstates—my commercial cloud and data-platform experience.
06 / START A CONVERSATION
Need leadership that stays close to the work?
I’m interested in senior technology leadership, data-platform, cloud and hands-on engineering management opportunities, including consulting work.