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(Opdateret 2024-03-27)Data Engineer
Stockholm, Sweden
Modersmål Svenska, English, Spanish, Øvet French
- T-SQL
- Azure
- Python
Kvalifikationer (59)
VISUALIZATION
API
BUSINESS REQUIREMENTS
BI
Python
MATLAB
POWERPOINT
pytest
Bash
MICROSOFT EXCEL
Excel
VBA
PIPELINE
Business Intelligence
MICROSOFT POWERPOINT
Git
Serverless Architecture
SYSTEM DEVELOPMENT
Docker
QUEUE MANAGEMENT
Queue
SHELL SCRIPTING
JavaScript
DATA SCIENCE
Kubernetes
PySpark
MICROSOFT DYNAMICS
Amazon Web Services
ASTERADATA
REACTJS
React
DYNAMICS
Cassandra
MICROSOFT DYNAMICS AX
AWS
CALYPSO
MAPPING
RECONCILIATIONS
TECHNICAL REQUIREMENTS
STATISTICAL MODELING
TEST CASES
RESOURCE UTILIZATION
Project Management
LOGISTICS
TEACHING
CUSTOMER RELATIONSHIP MANAGEMENT
BUSINESS OPERATIONS
Data Analysis
REQUIREMENTS GATHERING
SELF-DIRECTED
BUSINESS PROCESS MANAGEMENT
DATA SERVICES
Pressure Vessel
MARKETING ANALYSIS
OPERATIONS
TRADING
WORKFLOW
MONTE CARLO
CRM
Resumé
Johnny is a seasoned IT professional with over eight years of experience,
excelling in business intelligence, data science, data engineering, applied
mathematics, coding, and cloud development. Proficient in extracting business
insights through data analysis and visualization, Johnny stands out for his
exceptional communication skills, effortlessly conveying complex concepts to
non-technical stakeholders.
CGI experience
Oldest Bank in Sweden, Azure Data Engineer (Dates 06/23 to 03/34)
As an Azure Data Engineer, Johnny develops of a hybrid cloud data platform,
focusing on the creation of a unified data source for the entire Swedish central
bank. In this role, he is responsible for Python development, constructing data
pipelines efficiently using Dagster, Docker and azure pipeline yaml files.
His expertise encompasses various tools and technologies, including SQL,
Dagster, Copier, Cookiecutter, and Azure DevOps. He has experience with
static analysis tools such as ruff and pytest, ensuring code quality and
security. He excels in building artifacts in Azure Pipelines, and he follow a
continuous integration and continuous development approach within an agile
strategy. His daily work involves saving code in Azure Repos with git,
contributing to efficient and collaborative development practices.
LF-BANK, Data Engineer (Dates 12/22 to 06/23)
In his role as a Data Engineer, Johnny oversees the ETL process and Data
pipelines for the bank's data warehouse, leveraging an on-premises Microsoft
stack consisting of SSIS, SSMS, and C#. The assignment's primary objective
is to expand the current data warehouse and transition the data models to
KAFKA. Furthermore, Johnny actively contributes to developing new data
models, employing methodologies such as Kimball and Data Vault to ensure a
precise representation of the bank's operations.
NCC, Azure Data Engineer (Dates 06/22 to 12/22)
As a data engineer, Johnny led the comprehensive ETL workflow in Azure,
with the mission of constructing a cloud-based data warehouse for the entire
company. This involved crafting precise data models that faithfully represented
business operations.
In his role as a data engineer in Azure, Johnny achieved seamless integration
of data flows from APIs (data sources) to PowerBI, utilizing the capabilities of
Azure Databricks. His expertise and efforts were pivotal in establishing a
robust infrastructure, facilitating efficient data processing and analysis across
the organization.
Industry expertise
Banking and Finance, Retail,
Construction, Transportation, Energy
Professionel erfaring
2017-09 - 2018-08
2017-01 - 2017-06
2016-05 - 2016-12
Using advanced optimization algorithms, he designed more efficient schedules, demonstrating potential staff resource redistribution. Presenting findings to IKEA Denmark's CFO, he sparked interest for future collaboration. Tools utilized included Matlab, Workshop, Excel, Queue Theory, Markov Chain, Statistical Mathematics, R, HASTUS, and Requirement gathering.
2016-01 - 2016-12
2016-01 - 2016-02
Johnny delivered a final presentation with data visualization focusing on the costs.
On an individual level, Johnny was responsible for linking the client's requirements to two different planning systems and visualizing cost data. Additionally, he conducted interviews with system users and compiled a presentation outlining the costs, advantages, and disadvantages of each system.
Key areas of expertise in this assignment included: Hastus, Optibus, Data Analysis, Data Visualization, Process Mapping, Workshops, Requirements Gathering, Microsoft Excel, Microsoft Excel Pivot, and PowerPoint.
2015-08 - 2015-12
2015-02 - 2015-08
2015-01 - 2015-02
This responsibility involved leveraging the capabilities of the optimization system to develop schedules that aligned with operational needs and organizational goals. By employing the Hastus system, he ensured that the working schedules were not only efficiently structured but also optimized for enhanced productivity and resource utilization. This experience underscores my proficiency in utilizing advanced tools and technologies to contribute to the operational efficiency of the organization.
2013-01 - 2013-06
2012-08 - 2012-12
Technical specializations Data Engineering Python development SQL development Java development Azure Cloud AWS INFORMATICA MDM Developer
Akademisk baggrund
2024-12 - 2024-12
2024-12 - 2024-12
2024-03 - 2024-01
2024-03 - 2024-01
2024-03 - 2024-01
2024-03 - 2024-01
2024-03 - 2022-01
2024-03 - 2014-01
2024-03 - 2013-01