May 2024 – Feb 2025 · 9 mos · Remote

• Platform Engineer with proven experience in developing and maintaining critical infrastructure solutions.
• Single-handedly designed and implemented a way to integrate with Elastic Synthetic monitoring, achieving widespread adoption across 8+ engineering teams for monitoring business-critical internal infrastructure
• Supported company-wide dependency management through Renovate to ensure consistent and up-to-date software dependencies across the organization's codebase
• Member of the production incident response team, providing on-call support during business hours and weekend rotations. Demonstrated strong problem-solving abilities through incident investigation and documentation of root cause analyses

Mar 2022 – Apr 2024 · 2 yrs 1 mo · Remote

• Developed and implemented a custom Elastic integration for Istio logs and metrics as part of the Cloud Native Observability team
• Created and maintained Elastic integration dashboards for Kubernetes monitoring and observability
• Engineered a remote debugging solution for Elastic Beats using Go Delve Debugger, Tilt, Docker, and Kubernetes, streamlining troubleshooting processes
• Contributed bug fixes and new features to Elastic Agent and Beats codebases
• Automated support ticket investigation processes and resolved complex Kubernetes-related support issues
• Served as a member of the interview committee, participating in technical evaluations across multiple positions

Oct 2018 – Aug 2021 · 2 yrs 10 mos · London Area, United Kingdom

• Wrote a standalone application to compress, deduplicate and re-partition historical and daily game analytics data. This made querying months worth of data in 10s of seconds possible. Previously, it would have taken hours to query a single month and it would have run out of memory for querying longer periods (Golang, AWS S3, AWS Athena, AWS Glue).
• Wrote a Lambda to modify game analytics events in real-time. This lambda replaced IDs in the events according to custom rules per game and per event type stored in AWS S3. Part of this project included writing an in-memory cache for the S3 configs to reduce the processing time (Python, AWS Kinesis, AWS Lambda).
• Wrote a Lambda to offload data from the real-time pipeline to the data warehouse (Golang, AWS Kinesis, AWS Kinesis Firehose, AWS S3)
• Contributed to the successful launch and ongoing support of 10+ Playstation first-party games from World Wide Studios by providing capacity estimations, cost optimizations, modifying configs, fixing bugs and being on call (AWS EMR, AWS Lambda, AWS Kinesis, Golang, Python, Terraform, Jenkins)
• Contributed to a major refactoring of the data pipeline (Golang, Python, AWS Kinesis, EMR, AWS Lambda, Terraform)
• Reduced the time taken by Engineers to manually create Grafana users, by writing an automation script that synchronized Okta users with Grafana users (Python)
• Wrote a script that would allow Engineers from a Studio to search, download and transcode videos according to different criteria (Python).
• Maintained and improved 10+ internal microservices, 20+ EMR jobs, 5+ AWS Lambdas to support the data pipeline (Python, Golang, Terraform, Ansible)

Mar 2017 – Aug 2018 · 1 yr 5 mos · London Area, United Kingdom

• Reduced the running time of the daily pipeline by ~4x (from 8 to 2 hours), by optimizing some Hive queries and replacing the legacy code with a Google Dataflow job written in Java for the ingestion of 120 million documents into ElasticSearch.
• Achieved 30% cost savings in the infrastructure expenses of my team by replacing the legacy Hadoop cluster with a new setup with the same processing power plus Kerberos Security
• Wrote a Google Dataflow job in Java as part of the migration of the data pipeline from Hive on-premise to Google BigQuery
• Automated the scheduling of the data pipeline by creating, configuring and supporting an Airflow cluster running on Kubernetes on Google cloud and by writing various Airflow jobs in Python
• Improved various parts of the data pipeline (SQL for Hive queries, Java for Hive UDFs and Hive SerDes)
• Developed scripts to collect and display data pipeline statistics into InfluxDB and Grafana (Python)

Jul 2015 – Feb 2017 · 1 yr 7 mos · London Area, United Kingdom

• Reduced the ingestion time of 40 million scientific publications into ElasticSearch by ~8x (from 24 to 3 hours) by rewriting one of the steps of the data pipeline (Spark, Hadoop cluster on AWS).
• Deployed, configured and maintained a variety of Hadoop, ElasticSearch and Cassandra clusters either bare-metal on-premise or on cloud (Python, Ansible, Amazon AWS)
• Contributed to the migration of the batch data pipeline from a bare-metal Hadoop cluster to an Amazon EMR cluster by rewriting a Map/Reduce job that was written in Java into a Spark job written in Scala
• Automated the scheduling of the data pipeline by writing multiple Airflow jobs (Python)
• Improved the data pipeline alerting capabilities (Python and Bash scripting)
• Contributed and maintained various apps running on Mesos and Marathon as Docker containers

Nov 2013 – Jul 2015 · 1 yr 8 mos · London, United Kingdom

• For 2 consecutive years, I delivered the official 5 days training course on Hadoop as part of the Hadoop Summit in partnership with Hortonworks
• Delivered 5+ training courses (duration 3-5 days) on Hadoop (either as Admin or Developer) at client offices across Europe
• Installed, configured and optimized 3 Hadoop clusters on bare-metal machines for different clients
• Delivered 5+ consultancy sessions on Hadoop and Big Data for various clients
• Obtained 3 Hortonworks certifications on Hadoop as Administrator (with grade 83.33/100), Developer (with grade 92/100) and Java Developer (with grade 93/100)
• Lead Engineer in a team of 3 Engineers for a 4-month greenfield project for a client
• Contributed to the development of the internal batch data pipeline (HBase, Pig, Hadoop)
• Attended various training courses including Spark by Databricks, Administrator Training with Cassandra by Datastax, Developer Training with Cassandra by Datastax

Jan 2013 – Oct 2013 · 9 mos · London Area, United Kingdom

• Developed 5+ integrations with external data providers via FTP protocol (Java)
• Developed an internal RESTful API to serve data from a NoSQL database (Java, AWS SimpleDB)
• Wrote various parts of the internal data pipeline (SQL, Hive, Pig)
• Wrote a client for Kafka (Java)

Oct 2009 – Mar 2010 · 5 mos · Catania, Sicily, Italy

• Improving functionalities of the Feature models used in COSIMO (a code generation tool based on Feature Models) and the human computer interaction with the Feature diagrams graphical editor.

Mar 2009 – Aug 2009 · 5 mos · Greater Nice Metropolitan Area

• Improving Cosimo (a code generation tool based on Feature Models), an Eclipse (IDE) plugin for Feature diagrams.

Mar 2006 – Jun 2006 · 3 mos · Palermo, Sicily, Italy

• Porting JADE, Java Agent DEvelopment Framework, and PRISMA, Piattaforma
• di Rete Integrata per Soluzioni Mobili Adattabili, on Windows
• Pocket Pc devices (from Java v.1.4.2 to v.1.1)