Let me be of your service
My wider Data Engineering & Operations (DataOps), Data Engineering and Data Architecture expertise meets your domain skills to leverage potentials within your organisation and to enable your experts working more efficiently.
Let me support your data unit as an expert bringing in different perspectives or external ideas based on years of experience.
My Services
Workshop Data Use Cases
If you are just at the beginning with data analytics or if you require another impulse in terms of creativity, let me introduce you to the individually customized "data use cases" workshop.
This could be helpful for teams, companies or organisations which believe in the benefits and potentials of using analytics insights in their processes, but struggle with the elevation of use cases accompanying to your venture.
- Identify current set of datasets or use cases
- Analyse how data management can be optimized
- Create a shortlist of use cases and their potential impact on the business targets
- Set a milestone plan and roadmap to achieve first results
- Challenge your current list of data use cases (either get valuable feedback or extend your list of potential use cases)
Freelancer Data Engineering Projects
You want to add a skilled resource to one of your data integration or analytics projects? Please check the bullet points below, if you want to book me as a Freelancer to support or to fill gaps in ongoing projects:
- Research of specific technical solutions and how to integrate them into the analytical process
- Data platform provisioning and infrastructure configuration preferably on AWS or in on-premise data centers (including automation scripts)
- CI/CD of analytical apps on servers or containerized (e.g. Docker or Kubernetes)
- Development of automated Data Ingestion Pipelines and Data Access of new data sources (both Batch Processing or Streaming architectures)
- Data Management, Data Cleansing and Data Preparation steps for data warehouses (e.g. AWS Redshift, SAP DWC, Azure Synapse)
- Query large datasets (e.g. PySpark, SQL)
- Please request a detailed portfolio for further skills and technologies
- Other skills/tools: ORC, Parquet, Avro, Spark, AWS EMR, Azure Data Factory, AWS Glue, AWS Athena, AWS Redshift, AWS Kinesis, DBT; Airbyte, Airflow, Apache Superset, Streamlit, GCP BigQuery, Snowflake
Data Architecture Consulting
Data Architecture for analytical platforms cover a wide range of possible tasks I can support teams with. Either there is a requirement to conceptualize the integration of data analytics to existing software applications as an additional feature for the users or you want to setup or extend an analytics platform in order to gain insights from datasets and create dashboards or reports as a result.
Another call for external support would be very specific data modeling for analytical questions as well as the ingestion or access to new data sources.
Besides, it could be of your interest to retrieve an evaluation of tools or providers in order to receive my advise.
- Guided workshops to concretise your full data stack or parts of it
- Integration of your data stack with existing applications
- Get new impulses from an external perspective with years of experience
- Delivery of an implementation roadmap to achieve declared goals
- Let me take the role as a solution architect within your data technology stack
Descriptive Analytics & Dashboards
Decision making, based on facts instead of gut feeling while using displayed insights from different datasets of interest is one of the key reasons to use Analytics Dashboards.
I can help your division, expert team or analytics department to setup such dashboards in different programming languages depending on the requirements.
Besides, gathering new datasets and to purify different KPI’s really goes side by side with the Dashboard or Report development.
- Dashboard implementation JavaScript, Python Dash, R Shiny Apps
- Tableau / Microsoft Power BI development
- Deployment of Dashboard Applications for performant and productive usage
- Requirements engineering
Support & Operations of implemented data applications
Data teams often are very passionate about creating insights from dataset and working with the data itself. The process of running a data application on a production stage or to deliver insights to customers can be a little bit too much of a pain. Sounds familiar? I can help you to plan a proper data operations (DataOps) either for your data platform, integration pipelines or the statistical modeling (MLOps) itself.
Our
cooperation
To meet your needs, I offer different models of collaboration.
Let’s get in touch to find out what suits you best.
Use Case
Workshop
~ 12 to 24 billed hours (including preparation time)
Data Architecture Feedback
~ 12 to 24 billed hours (including research, evaluation and meetings)
Data Architecture Creation
~ 6 to 8 billed project days (including evaluation, meetings and research)
Free Architecture Workshop
Free 4-h analysis of Toolstack & Data Architecture, ideal for start-ups. Divided into two sessions: 2h briefing and stocktaking / 2h presentation of results and review.
Freelancer Data Engineering (Short-term)
~ 1 to 3 days per week in a period of 3 months (for further support the assignment needs to be extended)
Keynote or Coaching
- Keynote – How to build a data monetization product?
- Business Analyst Coaching – how to work with data sources and visualize data
- Advisory – How to start building a data catalogue and what toolstack is recommended?
References & Partners
