Dimitrios Liakopoulos

Highly technical role requiring significant knowledge and effort on: Google Cloud Platform GCP, dbt, GitLab, BigQuery, Data Lakes, Stream Processing, Python, SQL, Cloud Data Warehouses, Data Pipelines, and ETL

Responsible for the development of architectural approaches to Enterprise Data Warehousing, Big Data Analytics and Master Data Management. > Data warehousing with SQL, dbt, Pentaho and AWS Athena > RDS on-purpose databases and DynamoDB > AWS S3 data Lake > Serverless computing such as: stream Processing with Firehose, Lambda Functions with Python, and EventBridge > Observability and scheduling with AWS Cloudwatch and Airflow. > Complex data visualisations with Tableau and Grafana.

Key Technologies: Python, Exasol Database, Pentaho Kettle, Docker, Git, Jenkins, MongoDB, Lua, Linux Shell, RabbitMQ, QlikView, Django, Swagger, AWS EC2/ECS/S3, Kibana, Jupyter, BitBucket, Jira. Frameworks and Skills: OKR setting, S.M.A.R.T Goals, Team Performance Evaluation, Agile Scrum, Business Intelligence, RESTful APIs, ETL, Microservices, Continuous Integration & Delivery, Unit Testing, Docker Containers, Kimball/Dimensional Design.

Ran DWH/BI projects for Core Banking System from beginning to end. Directly responsible for the full concept, design, technical development of overall strategy of database technologies, data warehouse techniques, and business intelligence methods. Key Technologies: Oracle PL/SQL, TOAD, IBM DB2, IBM AIX (UNIX), SAP BusinessObjects BI BW, CA GEN, XML, C, AWK, shell scripting, Canam Report Composer, SVN, Jira, Microsoft Project, Trello, Microsoft Visio, Sublime Text.

SWIFT Messaging, Banks custodian services, Oracle Forms, Oracle Reports, Oracle Discoverer, Business Intelligence.

ERP, Microsoft Dynamics NAV, Stock Exchange Trades, Asset Management,Visual C++ 6, Object Oriented Analysis and Design, SQL Server, Business Intelligence.