Alex A.

Data Engineer

Alex är en erfaren dataingenjör med 13 års kommersiell erfarenhet, specialiserad på Python, VBA, AWS, SQL och Power BI.

Han har omfattande erfarenhet av att leda team som utvecklar och underhåller datapipelines för att säkerställa ett effektivt dataflöde och effektiv databehandling.

Under hela sin karriär har Alex arbetat inom olika sektorer, bland annat högre utbildning, tjänster och teknik. På Regent's University London ledde han ett team som förbättrade datainfrastrukturen och därmed avsevärt effektiviserade verksamheten. Hans strategiska insikter vid University of Bradford bidrog till att institutionen klättrade 30 placeringar på den nationella rankingen. Som ett erkännande av sin innovativa forskning om pendlande studenter fick han 2020 års HESPA Data Award.

En anmärkningsvärd prestation i hans karriär var att leda övergången från Jenkins till Airflow, vilket resulterade i en 25% minskning av ETL-bearbetningstiden och leverans av data sex timmar snabbare. Alex arbete är högt värderat, vilket återspeglar hans engagemang för excellens och hans förmåga att driva fram betydelsefulla resultat.

Huvudsaklig expertis

AWS ECR 3 år
VBA 5 år
Data Analytics 13 år

Andra kompetenser

AWS EC2 4 år
ElasticSearch 3 år
AWS CDK 3 år

Alex A.

United Kingdom

Hitta en utvecklare

Utvald erfarenhet

Anställningar

Senior Data Engineer

Nexthink - 10 månader
- Developed and maintained real-time messaging services using Kafka in Java (Micronaut);
- Optimized data storage and processing pipelines with Protobufs and Clickhouse, ensuring efficient performance monitoring through Datadog;
- Managed AWS infrastructure, including Kubernetes and ECR, and implemented CI/CD pipelines utilizing GitHub Actions and ArgoCD;
- Enhanced team workflows and project management by applying Agile methodologies, including Sprints and Kanban, using tools like Jira and Confluence.
Teknologier:
- Teknologier:
- AWS ECR
- Azure
- Java
- Data Engineering
Senior Data Engineer

Applearn - 2 år
- Engineered real-time event pipelines in AWS (Firehose, S3, Athena, Quicksight, RDS, Redshift) and Azure (PowerBI), achieving a 30% improvement in data processing efficiency;
- Maintained a codebase written in Python (with code quality ensured via Black, Flake8, Xenon), TypeScript, Shell, SQL, and DAX;
- Developed an AI-driven "Experience Mining" model using Python Petri Nets, which generated user journeys from browsing data, including clicks on screens and page navigation;
- Migrated the CI/CD process from Jenkins to Airflow, including the development of custom operators, alerting mechanisms, and AWS integration, resulting in a 25% reduction in execution time;
- Implemented a data firewall for data validation using the Python jsconschema library to filter out events that did not meet predefined rules;
- Achieved £5k in monthly savings on cloud infrastructure costs through optimized container management;
- Led the migration from deploying directly to production by building infrastructure-as-code (via CDK) and implementing gitflow processes for multiple non-prod environments, reducing service outages from over 10 per quarter to zero, enabling 24/7 uptime.
Teknologier:
- Teknologier:
- Jenkins
- AWS S3
- Redshift
- Python
- Azure
- SQL
- Data Engineering
Data Lead

Regent’s University London - 1 år 1 månad
- Led a team of seven in the development and maintenance of data pipelines, ensuring efficient data flow and processing across the institution;
- Oversaw the implementation and optimization of digital systems, enhancing the operational efficiency of various departments within the university;
- Collaborated with cross-functional teams to identify and address data-related challenges, ensuring data accuracy and reliability;
- Provided strategic guidance on data management practices, contributing to the university's digital transformation efforts.
Data Lead

Middlesex University - 5 år 4 månader
- Awarded the 2020 Higher Education Strategic Planners Association (HESPA) Data Award for groundbreaking research and insights into the behavior of commuter students;
- Led the Data Analytics and Business Intelligence function for an organization with approximately 4,000 staff, driving data-driven decision-making across the institution.
Teknologier:
- Teknologier:
- Data Analytics
- Data Engineering