
Davide Dal Bianco
Verified Expert in Engineering
Data Engineer and Software Developer
Amsterdam, Netherlands
Toptal member since November 8, 2021
Davide is an experienced data and software engineer with attention to detail who strives to implement robust and highly scalable solutions. He started his career as a Scala software engineer at ING Bank, building the enterprise data platform. After that, he moved to a world leader high-frequency trading firm, to create a new cloud data platform in GCP. Currently, he's interested in designing and implementing data-intensive and highly scalable applications.
Portfolio
Experience
- Kubernetes - 4 years
- Spark - 4 years
- Scala - 4 years
- Java - 3 years
- Google Cloud Platform (GCP) - 2 years
- Terraform - 2 years
- Apache Kafka - 2 years
- Prometheus - 2 years
Availability
Preferred Environment
Linux, IntelliJ IDEA
The most amazing...
...thing I've done is a contribution to an open-source project in the big data field, developing a lineage integration for Apache Spark.
Work Experience
Lead Data Engineer
KLM Royal Dutch Airlines
- Developed a new Scala application from design to production in less than six months.
- Refactored an existing ETL pipeline from a monolith sequential Python application to an Airflow-orchestrated Scala-Spark pipeline.
- Migrated several applications to Azure and, as part of the migration, implemented reusable GitHub workflows that are now used by most teams in the departments.
Data Engineer
Flow Traders
- Designed and implemented a framework to schedule script executions on the data platform, with a vault for secrets, retry mechanism, and alerting system.
- Resolved critical operational issues in production environments in EMEA and US.
- Supported traders and quants in their daily analytics and software development activities. I was the only data engineer on the trading floor.
Software Engineer
ING Group
- Managed a collection of Scala microservices running in OpenShift, which allow data scientists to create custom development environments to perform data exploration and machine learning.
- Assisted users of the data platform and help them write efficient and scalable ETL pipelines.
- Recruited data and software engineers for the department.
Experience
Data Platform
Education
Master's Degree in Computer Science
Università degli Studi di Padova - Padua, Italy
Bachelor's Degree in Computer Science
Università degli Studi di Padova - Padua, Italy
Certifications
Deep Learning Specialization
Coursera
Skills
Tools
Terraform, Grafana, Helm
Frameworks
Spark, Hadoop
Platforms
Docker, Linux, Kubernetes, Apache Kafka, Google Cloud Platform (GCP), Azure
Languages
Scala, Java, Python
Storage
Databases
Other
Programming Languages, Programming, Software Engineering, Prometheus, Distributed Systems, Networking, Machine Learning
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