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Polina Schulz

Data Migration Lead – Process Automation, Data Engineering & Reporting

Polina Schulz
Frankfurt am Main, Germany

Experience

Jan 2021 - Dec 2025
5 years

Data Migration Lead – Process Automation, Data Engineering & Reporting

Large Public-Sector Bank

  • Configured and automated data extracts from Oracle databases, achieving 100% data accuracy in a critical migration project, significantly reducing manual errors and accelerating the migration timeline.

  • Designed and implemented interfaces with Order Management Systems (OMS), enabling seamless and automated data exchange and improving operational efficiency through faster, error-free order processing across business units.

  • Developed and deployed data extraction workflows to support regulatory compliance and customer reporting, ensuring timely delivery of key reports, reducing manual effort, and increasing customer satisfaction.

Jan 2019 - Dec 2020
2 years

Data Migration Lead

Large Financial Services Provider

  • Configured Oracle APEX interfaces to support data migration, ensuring smooth system integration and reducing data errors.

  • Analyzed and migrated asset data, enabling accurate transfers and improved data reliability.

  • Created all types of asset management objects, supporting operational continuity during the system transition.

Jan 2010 - Dec 2015
6 years

Consultant – SimCorp Dimension Implementation Partner

FSC Financial Software Consultants GmbH

  • Implemented SimCorp Dimension solutions for asset management clients, customizing workflows and reporting to meet specific business requirements.

SQL Project – Online Marketing Performance Analysis (Google & Facebook Campaigns)

  • Conducted comprehensive performance analysis of online marketing campaigns (Google & Facebook) using SQL (PostgreSQL, BigQuery) and DBeaver to process and explore large datasets.

  • Queried and aggregated campaign data using SQL, calculated performance metrics, identified optimization opportunities, and communicated findings to stakeholders.

  • Provided actionable insights through clear, data-driven storytelling, supporting strategic decisions and enhancing marketing effectiveness.

Tableau Project – Interactive Business Metrics Visualization

  • Created interactive dashboards analyzing Superstore Sales data (2020–2023) with time series, profit breakdowns, delivery times, and US map visualizations using advanced features like dual-axis charts, calculated fields, filters, and dashboard actions.

  • Designed visualizations, built interactive filters, and enhanced user-driven dashboard controls.

  • Delivered intuitive, dynamic dashboards for deep business insights.

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Banking and Finance (13 years).

Banking and Finance

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Information Technology (13 years) and Business Intelligence (11 years).

Information Technology
Business Intelligence

Summary

Data Analyst with practical experience in data analysis, digital marketing analytics, and statistical research. Proficient in SQL (BigQuery, DBeaver), Python with Jupyter Notebook (NumPy, Pandas), Tableau, Looker Studio, Google Sheets, and more. Skilled in data visualization, A/B testing, and exploratory data analysis. Experience conducting comprehensive analyses, developing actionable recommendations, and creating dashboards and reports to support data-driven decision-making. Motivated to leverage analytical skills to deliver insights and add value in business environments.

Skills

  • Sql, Python, Vba, Javascript, Xml.

  • Strong Expertise In A/b Testing, Data Modelling, Data Cleaning & Enrichment.

  • Solid Foundational Knowledge Of Machine Learning Concepts.

  • Demonstrated Problem-solving And Critical Thinking Skills, With A Strong Ability To Work Independently On Complex Issues.

  • Excellent Communication And Collaboration Skills Across Cross-functional Teams.

  • Databases & Development Tools: Oracle Db, Ms Sql Server, Bigquery, Toad For Oracle, Apex.

  • Bi & Visualization: Tableau, Looker Studio, Excel.

  • Financial Systems: Simcorp Dimension (Certified), Xentis, Aladdin, Wm, Bloomberg.

  • Automation / Process Tools: Uipath, Camunda, Kofax, Silk Test, Jira.

Languages

German
Native
Russian
Native
English
Advanced
Ukrainian
Advanced

Education

Oct 2008 - Jun 2009

Hansa Language Center

Toronto, Canada

Oct 2005 - Jun 2010

Goethe University Frankfurt

Bachelor of Science, Economics, Finance & Accounting · Economics · Frankfurt, Germany

Certifications & licenses

AI & Machine Learning In Practice

Hasso-Plattner-Institut

Data Analyst

GoIT

Data Extractor Including Data Model In SimCorp Dimension

SimCorp Dimension

Deep Learning For Computer Vision

Hasso-Plattner-Institut

Managing IT Projects

George Washington University / ESI

RPA

UiPath Academy

SimCorp Dimension Certified Professional

SimCorp Dimension

Profile

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Polina based?

Polina is based in Frankfurt am Main, Germany.

What languages does Polina speak?

Polina speaks the following languages: German (Native), Russian (Native), English (Advanced), Ukrainian (Advanced).

How many years of experience does Polina have?

Polina has at least 13 years of experience. During this time, Polina has worked in at least 3 different roles and for 3 different companies. The average length of individual experience is 4 years and 3 months. Note that Polina may not have shared all experience and actually has more experience.

What roles would Polina be best suited for?

Based on recent experience, Polina would be well-suited for roles such as: Data Migration Lead – Process Automation, Data Engineering & Reporting, Data Migration Lead, Consultant – SimCorp Dimension Implementation Partner.

What is Polina's latest experience?

Polina's most recent position is Data Migration Lead – Process Automation, Data Engineering & Reporting at Large Public-Sector Bank.

What companies has Polina worked for in recent years?

In recent years, Polina has worked for Large Public-Sector Bank.

Which industries is Polina most experienced in?

Polina is most experienced in industries like Banking and Finance.

Which business areas is Polina most experienced in?

Polina is most experienced in business areas like Information Technology (IT) and Business Intelligence.

Which industries has Polina worked in recently?

Polina has recently worked in industries like Banking and Finance.

Which business areas has Polina worked in recently?

Polina has recently worked in business areas like Business Intelligence and Information Technology (IT).

What is Polina's education?

Polina holds a Bachelor in Economics from Goethe University Frankfurt.

Does Polina have any certificates?

Polina has 7 certificates. Among them, these include: AI & Machine Learning In Practice, Data Analyst, and Data Extractor Including Data Model In SimCorp Dimension.

What is the availability of Polina?

Polina is immediately available for suitable projects.

What is the rate of Polina?

Polina's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.

How to hire Polina?

To hire Polina, click the Meet button on the profile to request a meeting and discuss your project needs.

Average rates for similar positions

Rates are based on recent contracts and do not include FRATCH margin.

1200
900
600
300
Market avg: 860-1020 €
The rates shown represent the typical market range for freelancers in this position based on recent contracts on our platform.
Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.