Danilo Tascone

At Adevinta, I contributed to a major company-wide restructuring project, focusing on the migration and redesign of critical data infrastructure components.

• Designed the new scheduling architecture to migrate data products from a legacy orchestration tool to Apache Airfow.

• Built and maintained CI/CD pipelines to streamline development and deployment processes.

• Contributed to the redesign and migration of the company's main data ingestion pipeline from the legacy platform to the new infrastructure.

• Designed, developed, scaled and optimized a new processing component handling 2 TB of data per day.

• Actively involved in validation and UAT phases: planned activities, delegated tasks, and engaged with stakeholders to ensure smooth delivery.

• Quickly integrated with new teams, collaborating effectively with engineers and stakeholders across the company. Apache Spark, Scala, Python, Apache Airfow, GitHub Actions, SQL

As a Data Engineer at Opensignal, I mainly worked in the Metrics Squad, delivering reliable network performance metrics for telecommunications customers.

I developed scalable, high-quality pipelines, ensuring accurate, replicable, and easily discoverable metrics for Analysts, Data Scientists, and business stakeholders.

Tech Stack: AWS (Athena, EC2, S3, ECR) | Python (Pytest, Behave, TDD) | SQL | Jenkins | Git | Apache Spark (80% PySpark, 20% Scala) | Apache Airfow | PostgreSQL | GCP | BigQuery | Terraform

Mentoring: I had the pleasure of mentoring and on-boarding several junior engineers, introducing them to our stack and providing guidance and support to help them become autonomous.

Broadband Squad:

I spent six months co-leading an ad-hoc team of Data Engineers and Data Scientists to deliver a new pipeline for Broadband Metrics, aiming to create a new line of business.

Pipeline Squad: I spent nine months with the Pipeline and Integration Squad, focusing on building the base infrastructure for the broader Data community within the company. I also identifed and implemented cost-cutting optimizations that saved $85,000 per year.

Metrics Squad:

• As a member of this team, I contributed to Sprints, Planning, Demos, and Retrospectives. I often owned Epics and broke down larger requirements into smaller tasks for other engineers to execute.

• I also served as the frst point of contact for the Data Science Squad. My responsibilities included reviewing new DS methodologies and drafting implementation guidelines for Data Engineers.

As a Data Engineer at Neodata Group, I was responsible for developing the main company product, the Data Management Platform, a technology for advertisers, broadcasters, and whoever wants to monetize his online audience. My daily activities involved collaborating with the product team to develop, maintain or improve the existing infrastructure following the Scrum Agile methodology and its events and practices. I worked mainly on our on-premise cluster which consisted of the following technologies:

• Hadoop, Yarn, HDFS, Hbase, Apache Oozie

• Apache Spark on Scala

• MySQL

• Microsoft Azure

• Grafana

• Occasionally, Elastic Search.

In this job I also gained experience with Microsoft Azure managed services for cloud computing which we adopt in consulting projects. I implemented ETL pipelines by using Apache Spark (Pyspark) in Azure Data Factory and Azure Synapse Analytics.