Tasks:Managing the daily work of 4 Data Engineers.Design and establish architectural patterns.POC (Proof of Concept) and implementation of new technologies.Knowledge sharing in the areas of data warehousing, programming, and engineering.Conducting Python and Engineering courses for 20+ developers and business professionals.Projects:Designing and implementing an H2O-based ML solution on OKD platform for sales support. Containerized API based ML prediction.Stack: Cloudera services, Airflow, Dagster, Docker, OKD, Python, MSSQL, MySQL, Oracle, AWS, Apache Spark, H2O

Data processing on Cloudera using Hive, Spark, Kudu, Impala services.Build Airflow jobs to train ML modelsBuild pipelines to integrate data to DWH and Cloudera cluster.Build Rest Api's for data serrvice.Design solutions for moving Cloudera to a cloud provider

Develop data related solutionsData WarehousingData engineering and BI developement

External Dataset Integration to on-premise DWH.PL/SQL and Python workshop for my co-workers.Design dashboards for business entitiesDesign Data Marts for business purposesDesign Software Developement conventiontsExamine structural problems and design solution for itStack: Python, Oracle SQL, PL/SQL, pandas, Cx_oracle, SqlAlchemy, Django

I write articles regarding to my experiences about IT, project management, software developement,

Develop a Labelling and workflow process management web based application for internal usage.Used stack: Angular, Django, Postgresql, Docker

Data integration project. Used technologies: Python, Postgres, RestAPI

I created lots of modules for internal usage debt managementsoftware.I designed and implemented a solution for GDPR project:- redesigned core objects- created multiple stored functions which collected the non-storabledata- I had many data cleaning tasks- I had to create lots of business related reports for legal entities.I created and integrated data model for new type of data wich is in adifferenct layer than the existing data model. We used Agile workingmethod

I created ETL processes to load data into Oracle Data Warehouse:store data at the staging area, process in the operational area andload it into the data markets.I created a code which can analyze the loading processes and can tellwhich process fills the tables.System maintenances of data loading processes were a part of mydaily routine. Database performance and PL/SQL performance tuningwere among my tasks as well

I was a kind of DevOps at the Budapest Bank. Maintained systems were: • the central customer database,• colleteral system• micro and corporate credit system• fraud management system• card and other transaction systems• commission calculator and collector systemI had high level privilege – DBA role in some case - to write functions, procedures, redesign database objects if it was necessary. All incident handling, process automation, testing, project support and maintenance were parts of my daily routine.Created some reports for legal entities. I automated ETL processes, error handling of our daily processes.

My tasks were: System maintenances Manage Token and user privileges Create ad-hoc reports Create SQL queries Create documents for Knowledge Management

https://katalizatordij2010.blog.hu/2014/01/20/a_hianyzo_padtars

field work, administration, organizing