Peter Stojanowski Email & Phone Number

London, England, Gb

London, England, United Kingdom

- Project Data Lead and Data Architect for a number of British banks (T1 to challenger), successfully building loan management and reporting platforms. Resulting platforms centralised and optimised data processes for 100s of users and saved up to 30% in loan approval and management time. - Designed modern ETL streaming pipelines using GO, Python and Kafka to process ongoing data requirements. - Led the architecture and build of multiple internal accelerators, resulting in increased delivery speed and acquisition of new clients. These allowed for activities such as stress testing, data migration, platform deployments to improve by up to 5x of original time and effort required. Core projects used the following technologies - Azure, AWS, GCP, Python, Terraform, Airflow, Docker, Kubernetes, DataBricks, SQL, PowerBI.- Mentored and nurtured new talent within the company, responsible for their well-being and professional growth resulting in all mentees having been runner ups or selected for employee of the quarter at least once a year.

London, United Kingdom

- Built 3 big data and cloud solutions in Platfora / Google Cloud environments across different business functions, reducing reporting timelines from months to days.- Liaised with stakeholders and executive teams to gather requirements and presented proposals, project updates and demos directly to C-suite Executives and Global Directors.- Responsible for large sections of architecture design and data modelling. Used best practice techniques such as UMLs and ERDs to drive the vision of a globally centralised platform reducing process overhead and process timelines by more than 50%.- Spearheaded cloud adoption within the bank, co-designed/built PoCs used for conferences such as Google Next in 2017 and 2019 - Created in-house standalone software and ETL pipelines in Python / Java / VBA / REST / SQL, processing 100s of TBs of data on monthly basis. - Used Docker and Kubernetes to support complex calculation pipelines, saving days of processing time - Designed and built scalable security and encryption protocols using python and Airflow allowing for 100s of terabytes of data to be processed within hours. - Managed and built data models handling petabytes of data across on-prem SQLServer and on-Cloud architectures. This allowed for global teams to report their unified data to both internal and external regulatory bodies on a regular basis. - Built web applications with integration to SQL, NoSQL, and Big Data storage solutions using Java, Google Apps Script, JavaScript, HTML, and CSS. - Mentored team members and led a globally located team of up to 20.

London, United Kingdom

Graduate program focusing on spearheading trainees into IT, software engineering and business opportunities. - Placed in a within Top Global Investment Bank as a Data Analyst/ Java & Python developer. - Built data analytics for optimising platform architecture and stakeholder monthly reporting- Designed PoCs to improve ongoing big data platform ETLs- Proposed and built a data validation solution in Excel, VBA and REST API, automatically processing 10s of millions of rows. Product superseded all prior existing SME manual validations and decreased time required to identify all monthly reporting issues from 2 weeks to 1 day.- Rose to a senior position within the Client's project team, leading a small, globally distributed development team.

- Photography, styling and retouching of e-commerce imagery using Adobe Lightroom and Photoshop, final quality assurance process with end Clients. - Worked with a variety of both high end fashion and retail clients, including Selfridges, Swarovski, Moschino, National Gallery, TK Maxx and deBijenkorf,. - Responsible for imagery for 2 Moschino AW 2014 and AW2015 collection launches for Selfridges and Christian Louboutin launch for Selfridges in Nov’ 2015