Sara Zarei - Data Analyst / Analytics Engineer

Q: Where is Sara based?

Sara is based in Munich, Germany .

Q: What languages does Sara speak?

Sara speaks the following languages: English (Advanced), German (Intermediate) .

Q: How many years of experience does Sara have?

Sara has at least 18 years of experience. During this time, Sara has worked in at least 4 different roles and for 4 different companies . The average length of individual experience is 4 years and 6 months . Note that Sara may not have shared all experience and actually has more experience.

Q: What is Sara's latest experience?

Sara's most recent position is Data Analyst / Analytics Engineer at IDG Tech Media GmbH .

Q: What companies has Sara worked for in recent years?

In recent years, Sara has worked for IDG Tech Media GmbH and Slow Down Health Inc .

Q: Which industries is Sara most experienced in?

Sara is most experienced in industries like Education , Media and Entertainment , and Government and Administration . Sara also has some experience in Healthcare .

Q: Which business areas is Sara most experienced in?

Sara is most experienced in business areas like Information Technology , Business Intelligence , and Marketing .

Q: Which industries has Sara worked in recently?

Sara has recently worked in industries like Media and Entertainment and Healthcare .

Q: Which business areas has Sara worked in recently?

Sara has recently worked in business areas like Business Intelligence , Information Technology , and Marketing .

Recommended expert

Munich, Germany

Check rate

Experience

Jul 2022 - Aug 2025

3 years 2 months

Munich, Germany

Data Analyst / Analytics Engineer

IDG Tech Media GmbH

Designed, built, and maintained scalable ETL/ELT data pipelines using Python, SQL, REST APIs, AWS Lambda, S3, PostgreSQL RDS, EventBridge, CloudWatch, Docker, Apache Airflow, and BigQuery – integrating data from GA4, Google Ads, Meta Ads, CMS, CRM, newsletters, events, and B2C ordering systems into analytics-ready datasets.
Built a cross-brand lakehouse architecture from AWS to BigQuery – transforming raw JSON/CSV data into structured, partitioned, and reusable reporting layers with staging, intermediate, canonical, and mart models.
Designed relational and dimensional data models: 3NF staging models, star schemas, fact tables, dimension tables, daily KPI aggregates, and dashboard-optimized marts for marketing, content, subscription, event, CRM, and revenue analysis.
Implemented production-grade data quality and pipeline reliability features: incremental loads, idempotent upserts, deduplication, schema validation, row matching, null checks, anomaly detection, freshness monitoring, logging, retries, and error alerts.
Automated cross-brand reporting processes and data products – pipelines for 73 newsletter campaigns, 31 lead list syncs, 52 event partner reports, and a 500K-record company matching pipeline; reduced manual data preparation by approx. 70% and increased analyst productivity by approx. 30%.

Jan 2021 - Dec 2021

1 year

Munich, Germany

Data Scientist

Slow Down Health Inc

Developed Python/SQL data workflows to clean, transform, and prepare user behavior datasets for analysis, reporting, and dashboarding.
Built robust Power BI reporting datasets and dashboards to track engagement, product usage, and outcome KPIs for business stakeholders.
Translated business requirements into structured datasets, KPI logic, and reusable analysis workflows to support data-driven decision-making.

Jan 2017 - Sep 2019

2 years 9 months

Bandar Abbas, Iran, Islamic Republic of

Data Analyst / Analytics Engineer

Ministry of Education

Designed and implemented a managed PostgreSQL relational database to centralize approx. 52,000 book metadata records from fragmented Excel sources – using 3NF normalization, primary keys, composite keys, foreign keys, and referential integrity checks.
Developed Python-based ETL ingestion pipelines to load, clean, validate, and transform raw Excel files into structured database tables – flagging approx. 1,250 data quality issues through validation workflows.
Built a MongoDB NoSQL data solution for semi-structured metadata from approx. 30 school libraries – processing nearly 1 million JSON documents via a Python batch ingestion pipeline.
Created ERD diagrams, data documentation, validation rules, and data quality workflows to improve governance, maintainability, and repeatability of data engineering processes.
Developed an end-to-end ETL orchestration script to optimize batch execution, enhance pipeline repeatability, and support downstream reporting and exploratory analysis.

Jan 2007 - Dec 2017

11 years

Bandar Abbas, Iran, Islamic Republic of

Computer Science Lecturer

Ministry of Education

Taught programming, database fundamentals, SQL concepts, and problem-solving methods – building a strong foundation in relational data, data structures, and analytical thinking.

Jan 2006 - Dec 2007

2 years

Bandar Abbas, Iran, Islamic Republic of

IT Specialist

University of Medical Sciences

Supported IT systems, databases, reporting, troubleshooting, and user-facing technical operations to ensure reliable access to institutional data and digital services.

Industry Experience

See where this freelancer has spent most of their professional time.

Experienced in Education, Media and Entertainment, Government and Administration, and Healthcare.

Education

Media and Entertainment

Government and Administration

Healthcare

Business Area Experience

See which departments and functions this freelancer has contributed to most.

Experienced in Information Technology, Business Intelligence, and Marketing.

Information Technology

Business Intelligence

Marketing

Summary

Data Engineer with over 3 years of experience building scalable ETL/ELT pipelines, data warehouses and analytics-optimized data models with Python, SQL, BigQuery, PostgreSQL, MongoDB, AWS, Airflow and Docker. Experienced in API ingestion, batch processing, lakehouse architecture, staging/canonical/mart layers, dimensional modeling, data quality checks, incremental loads, orchestration and monitoring. Proven track record of automating cross-brand data pipelines and reporting workflows – reducing manual data preparation by 70% and improving data reliability for business stakeholders.

Skills

Programming & Etl: Python, Sql, Pandas, Sqlalchemy, Boto3, Rest Apis, Json/Csv Ingestion, Etl/Elt Pipelines, Batch Processing, Incremental Loads, Idempotent Upserts
Databases & Warehousing: Bigquery, Postgresql, Aws Rds, Mongodb, Data Warehousing, Lakehouse Architecture, Partitioned Tables, Sql Optimization
Cloud & Orchestration: Aws Lambda, S3, Eventbridge, Cloudwatch, Apache Airflow, Docker, Serverless Data Pipelines, Workflow Scheduling, Monitoring
Data Modeling & Quality: 3nf, Dimensional Modeling, Star Schema, Fact/Dimension Tables, Staging/Canonical/Mart Layers, Schema Validation, Deduplication, Data Quality Checks
Bi & Tools: Power Bi, Domo, Tableau, Git, Bitbucket, Vs Code, Jupyter Notebook, Agile/Scrum.

Languages

English

Advanced

German

Intermediate

Education

M.Sc. Computer Science · Computer Science

B.Sc. Computer Science · Computer Science

Certifications & licenses

Associate Data Scientist in Python (27-course program)

Cloud Computing for Everyone

Data Warehouse Fundamentals

Databases & SQL for Data Science

From Data to Insights with Google Cloud

Scrum Basics

Tableau 10 Essentials

Understanding Data Engineering

Statistics

Experience

Total positions 5

Experience in Education 12 y

Avg length 3 y 11 m

Longest experience 10 y 11 m

Global Experience

Countries worked in 2 (Iran, Islamic Republic of, Germany)

Primary country Iran, Islamic Republic of

Expertise

Recent roles Data Analyst / Analytics Engineer, Data Scientist, Computer Science Lecturer

Main industries Education, Media and Entertainment, Government and Administration

Main business areas Information Technology, Business Intelligence, Marketing

Qualifications

Highest degree Master

Certifications earned 8

Profile

Created

July 2026

Need a freelancer? Find your match in seconds.

Try FRATCH GPT

Frequently asked questions

Have questions? Find more information here.

Sara is based in Munich, Germany.

Sara speaks the following languages: English (Advanced), German (Intermediate).

Sara has at least 18 years of experience. During this time, Sara has worked in at least 4 different roles and for 4 different companies. The average length of individual experience is 4 years and 6 months. Note that Sara may not have shared all experience and actually has more experience.

Based on recent experience, Sara would be well-suited for roles such as: Data Analyst / Analytics Engineer, Data Scientist, Computer Science Lecturer.

Sara's most recent position is Data Analyst / Analytics Engineer at IDG Tech Media GmbH.

In recent years, Sara has worked for IDG Tech Media GmbH and Slow Down Health Inc.

Sara is most experienced in industries like Education, Media and Entertainment, and Government and Administration. Sara also has some experience in Healthcare.

Sara is most experienced in business areas like Information Technology, Business Intelligence, and Marketing.

Sara has recently worked in industries like Media and Entertainment and Healthcare.

Sara has recently worked in business areas like Business Intelligence, Information Technology, and Marketing.

Sara holds a Master in Computer Science and a Bachelor in Computer Science.

Sara has 8 certificates. Among them, these include: Associate Data Scientist in Python (27-course program), Cloud Computing for Everyone, and Data Warehouse Fundamentals.

The availability of Sara needs to be confirmed.

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

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

Salary / Daily Rate Distribution

0 2 4 6 8

<€800 €800-1200 €1600+

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.

Average rates for similar positions

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

1000

750

500

250

Daily rate avg. 884 €

The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.

1000

750

500

250

Median rate 880 €

The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.

Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.