Data Strategy Consultant

7/2023 – offen

Working on Azure to create a data strategy plan and implement data analytics and reporting for a Fintech building a payments app in Germany.
Have integrated and designed the mobile event tracking plan for the the app using Amplitude.

Amazon Web Services (AWS), Databricks, Data Mining, Microsoft Azure, Python

11/2019 – 6/2023

● Established the data strategy and culture for the Data Team and across the organization and defined the Data Architecture, Tech Stack, team capabilities and responsibilities.
● Defined, designed and oversaw the implementation of the Data Architecture and workflow for management reporting, and for analytics across the company – AWS, Terraform, Airflow, dbt, Fivetran, Snowflake and Tableau, SQL
● Designed and developed a complex data model in SQL
that addressed key operational business questions across
the organization
● Initiated a blueprint of the main Data Quality issues identified within Product and drew up guidelines and solutions to upkeep quality for data across the organization
● Developed, maintained and optimized ETL/ETL processes
and data pipelines to provide timely and accurate reports
● Designed, developed an event-based data model to
empower the business to understand customer journey,
user acquisition, engagement and more
● Mentoring and up-skilling individuals within and outside
the Data Team, contributing to continuous improvement
of data practices and knowledge across the company
Tool-kit: AWS, Snowflake, dbt-labs, Apache Airflow, Tableau, Python, Git, Alteryx, SQL

Amazon Web Services (AWS), Data Warehousing, Python, Snowflake

11/2016 – 6/2019

● Spearheaded the automation of Management Reporting across the company in order to empower stakeholders to manage operations concurrently
● Designed and developed the technical and business- related End-to-End process of Invoicing - using Restful API, Git, Python and Jenkins.
● Continuous improvement of Data Quality via collaboration with Product Owners – defining metrics to measure and monitor DQ and provide guidance on how to reduce identified issues
● Led an AML Project aimed for identifying suspicious transactions through automation of specialized reporting - from concept to technical implementation
● Designed and developed the technical and business- related End-to-End process of invoicing partners.
Tool-kit: AWS, PostgreSQL, Jenkins, Sisense, Tableau, Python, Git, SQL

Amazon Web Services (AWS), Jenkins, Postgresql, Python, SQL, Tableau