MD

Open to opportunities

Maciej Durczewski

@maciejdurczewski

I lead cloud, data, DevOps, ERP, and software delivery portfolios end-to-end.

What I'm looking for

I'm looking to lead complex cloud, data, DevOps, AI/ML, ERP, and software-delivery portfolios, building effective teams, governance, and scalable delivery processes across diverse technical domains.

I've led cloud, data, infrastructure, AI/ML, and software-delivery projects for organizations including Lingaro, TKH Technology, Tameshi, and Benefit Systems. Most recently, I built and maintained an Azure Databricks data platform and standardized Transition-to-Support for GCP BigQuery data products across regions and time zones.

At TKH Technology, I delivered an MLflow/Python anomaly-detection solution that achieved a 99.8% tread-strip detection rate, and built an Azure, Terraform, and GitLab DevOps platform with Prometheus and Grafana. At Tameshi, I built the Project Management Department from scratch, led a team of six PMs, and owned a portfolio of 30+ concurrent cloud-migration and DevOps projects.

Across more than 20 years in IT, I've managed project portfolios, ERP implementations, business analysis, IT operations, vendors, budgets, and cross-functional delivery teams. I bring practical experience with PRINCE2, PMI, Kanban, Agile/SCRUM, and NEXUS, with a solution-focused approach to scope, risk, delivery, and stakeholder alignment.

Experience

Work history, roles, and key accomplishments

LO

Current

Senior Project Manager

Current

Lingaro Sp. z o.o.

Nov 2024 - Present (1 year 10 months)

Leading Azure Databricks-based data platform projects for a global FMCG client, including data pipelines and asset improvements. Standardizing the Transition-to-Support process for data products in GCP BigQuery across regions.

Azure Databricks Data Pipelines BigQuery Project Management Stakeholder Management

Education

Degrees, certifications, and relevant coursework

WW

WSZ Wrocław

Engineer, Networks and Systems

Studied at WSZ Wrocław, focusing on engineering in networks and systems.

Tech stack

Software and tools used professionally

GitLab

Databricks

Terraform

MLflow

Grafana

Prometheus

Windows

Windows Server

HelpDesk+

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