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Tien Dat Phan

Big Data Software Architect

Can work in or around Paris

  • 48.858705
  • 2.342865
New
Propose a project The project will begin once you accept Tien Dat's quote.
Propose a project The project will begin once you accept Tien Dat's quote.

Location and workplace preferences

Location
Paris, France
Can work onsite in your office in
  • Paris and around (up to 50km)

Preferences

Project length
  • Between 3-6 months
  • ≥ 6 months
Business sector
  • Automobile
  • Aviation & Aerospace
  • Banking & Insurance
  • Civil Engineering
  • Biotech
+17 other
Company size
  • 11 - 49 people
  • 50 - 249 people
  • 250 - 999 people
  • 1000 - 4999 people
  • ≥ 5000 people

Verifications

Freelancer code of conduct signed
Read the Malt code of conduct

Verified email

Languages

Check out languages spoken by Tien Dat

Categories

Skills (10)

Tien Dat in a few words

I am currently a software architect of Big Data at Dassault Systèmes. My interests are in the area of cloud computing and Big Data processing, mainly focusing on improving performance and optimizing user experience.

- 9+ years of experience in JAVA and Python programming
- 5+ years of designing and developing high-quality Big Data platforms with industrial standards
- 9+ years of in-depth R&D experience in Big Data processing systems and software architect
- 9+ years of experience with Hadoop ecosystem
- English: Proficient. French: Conversational. Vietnamese: Native

Check out Tien Dat's full description

Experience

Dassault Systèmes - Groupe Dassault Systèmes

Software Publishing

Big Data Software Architect

Paris, France

January 2018 - Today (5 years and 5 months)

Develop a platform that allows industrial partners not only to collect, process and visualize data, but also to collaborate and exploit the vast amount of various data sources for improving the products’ lifecycle.

  • Responsible of the architect of the platform – Design, PoC as well as the implementation
  • JAVA and Python Backend dev – Core API for HBase, Hadoop, Livy, Zeppelin, Kafka, Nifi, etc.
  • Continuous Integration – Gitlab and Jenkins administration
  • Packaging and Delivery – MVN, Docker and Nexus repos for automatic and stable delivery
  • Large-scale deployment and maintenance - On premise cluster as well as on Cloud
  • Service registry – High throughput and HA
  • Data schema registry with Apache Avro
  • ACL – Authentication, Authorization and Access control
  • Monitoring – Health check, metrics collecting a displaying
  • Documentation – Confluence docs and presentations
Agile method Continuous integration Big Data Apache Spark Database administration Data Lake ETL

Recommendations

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Education

Check out Tien Dat's education