CURRICULUM VITAE — CHRONOLOGICAL (English)
==========================================

[FIRST NAME] [LAST NAME]
[Street, Number]
[Postcode, City], Germany
[Phone: +49 xxx xxx xxxx]
[Email: yourname@example.com]
[LinkedIn: linkedin.com/in/yourname]


PROFESSIONAL SUMMARY
--------------------
[2-3 sentences: your field, years of experience, what type of role in
Germany you're looking for. Example:]

Data engineer with 6 years' experience building petabyte-scale ETL
pipelines in fintech. Python + Spark + Airflow. Seeking Blue Card-
eligible senior roles in Berlin or Frankfurt.


WORK EXPERIENCE
---------------

[COMPANY NAME]                                 [MM/YYYY – present]
[Job title]                                             [City, Country]

- [Impact-focused bullet: what you shipped, measured in numbers.]
- [Example: "Reduced daily ETL run-time 68% by migrating Airflow DAGs to Spark 3."]
- [Example: "Led a team of 3 engineers delivering a real-time fraud-detection pipeline that blocked €1.2M of bad transactions in 6 months."]
- [3-5 bullets per role.]

[PREVIOUS COMPANY]                             [MM/YYYY – MM/YYYY]
[Job title]                                             [City, Country]

- [Same format.]


EDUCATION
---------

[University name]                              [MM/YYYY – MM/YYYY]
[Degree, subject]                                      [City, Country]

- GPA [if strong] / rank [if top 10%]
- Thesis: [1-line title + adviser]


TECHNICAL SKILLS
----------------

- Languages: [Python, Java, TypeScript]
- Data: [PostgreSQL, BigQuery, Spark, Airflow, dbt]
- Infra: [AWS, Docker, Kubernetes, Terraform]
- ML: [scikit-learn, TensorFlow, MLflow]


LANGUAGES
---------

- English: fluent (C2)
- German: [A2 / B1 / B2 — be honest, cite exam]
- [Native tongue]: native


CERTIFICATIONS / AWARDS
-----------------------

- [Certification name + issuer + year]


PUBLICATIONS / TALKS
--------------------

- [Only if relevant to the role. Short, one-line format.]


REFERENCES
----------

Available on request.


NOTES FOR AUTHORS
-----------------

- One page ideal, two pages OK. 3+ pages lose the reader.
- Use strong verbs: "led", "built", "cut", "doubled". Avoid
  "responsible for".
- Quantify every achievement. "Reduced" is weak; "reduced by 68%" is strong.
- Order: most recent first. Never leave unexplained employment gaps.
- Photo is optional in English CV (preferred in German Lebenslauf).
- Do NOT include: passport number, marital status, religion, salary.

Source: GermanDost. Educational use only.