Nicholas Tucci

Data Scientist

United Kingdom8 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

Expert in building scalable data platforms.
Proficient in cloud technologies and big data processing.
Strong collaboration skills with diverse stakeholders.

Stackforce AI infers this person is a Data Engineering expert with a focus on Cloud Computing and Big Data solutions.

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Skills

Core Skills

Data EngineeringCloud ComputingBig DataWeb Development

Other Skills

AWS GlueAWS RedshiftAmazon Elastic Container Registry (ECR)Amazon RDSAmazon S3Apache AirflowApache SparkBGPBashCCSSContinuous Integration and Continuous Delivery (CI/CD)Data IngestionData TransformationData Warehousing

About

Senior Data Engineer @ Zepz: - Remote global company working on spread time zones - Seasoned problem solver: up to speed with new techs and incidents with little context - Great working relationships with stakeholders from different domains BD and MD in IT Engineering with Honours (110/110) at Roma Tre University. Passion for traveling, IT and learning.

Experience

8 yrs 1 mo

Total Experience

4 yrs

Average Tenure

4 yrs 7 mos

Current Experience

Zepz

Senior Data Engineer

Nov 2021 – Present · 4 yrs 7 mos · London, England, United Kingdom · Remote

Remote only

Cloud ComputingData EngineeringApache AirflowApache SparkAWS Glue

Aioi nissay dowa insurance europe

Data Engineer

May 2018 – Nov 2021 · 3 yrs 6 mos · Epsom, Surrey, United Kingdom · On-site

Agile environment, defined data platform from scratch: from Data Ingestion to Transformation into the presentation layer using AWS Glue (Spark - Python), supporting different datasets.
Using AWS Redshift as Data Warehouse, combined with S3 as DataLake. Ad-hoc tuning to improve query performance.
GitLab for VCS & CI/CD.

AWS RedshiftAWS GlueData IngestionData TransformationGitLabData Engineering+1

Newcastle university

Data Processing (Master's Degree Internship)

Sep 2017 – Feb 2018 · 5 mos · Newcastle upon Tyne, United Kingdom

https://eprint.ncl.ac.uk/249685
Implementation of a NGS Pipeline with Apache Spark, processing human genomes due to detect and annotate Variants, known in literature as deleterious.
Resource and time consuming pipeline: Apache Spark has been introduced to bring efficiency and parallelism (scale out) in the work load. Spark gives the possibility to deploy this pipeline over a computer-cluster; through Docker I provided the necessary technologies to execute it in cluster-mode on Microsoft Azure VMs

Apache SparkDockerMicrosoft AzureData EngineeringBig Data

Inlogico.com - new media agency

Web Developer (Bachelor's Degree Internship)

Jun 2015 – Sep 2015 · 3 mos · Roma, Italia

Realisation of a CMS that allows the end user to interact and customise 360° Photo Sphere.
Frontend realised in JavaScript and CSS, backend in PHP based on a MySQL DB. Usage of Google Maps Street View API

JavaScriptCSSPHPMySQLWeb Development