Saeed Siddiqui

Data Engineer

Paris, France6 yrs 1 mo experience

Highly Stable

Key Highlights

Expert in Data Engineering and Cloud Computing.
Led multiple successful data migration projects.
Strong background in developing analytical solutions.

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

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Skills

Core Skills

Data EngineeringCloud ComputingData AnalyticsSoftware DevelopmentBig Data Cloud Platform Development

Other Skills

ASP.NETAzure CloudAzure Data FactoryAzure Data LakeAzure DatabricksAzure FunctionsAzure SynapseBootstrapC#CSS3Customer ServiceData IngestionData IntegrationData MigrationData Monitoring

Experience

Capgemini

8 roles

Senior Data Engineer

Mar 2024 – May 2024 · 2 mos · Paris, Île-de-France, France

Client | Hutchinson, Paris, Châtellerault
Worked on POC to see if it is feasible to use Azure Cloud and Databricks for their use case.
Collaborated daily with CDTO, Project Director, Project Manager for ensuring alignment with strategic objectives and deliverables tangible value to the organization.
Visited the client at Châtellerault to precisely capture and translate business requirements into robust technical solutions
Creation of Pipelines on ADF and used Databricks for the different layers of Multi Hop Architecture
Environment: Azure Cloud (Azure Data Factory, Databricks)

Azure CloudDatabricksProject ManagementData EngineeringCloud Computing

Senior Data Engineer

Sep 2023 – Feb 2024 · 5 mos · Paris, Île-de-France, France

Client | Volvo, Paris
Project Description: Migration of Data platform VFSDBB (Volvo Financial Service Data Back Bone) on Azure Cloud to UDP (Unified Data Platform) Azure Cloud.
Recreation of Pipelines, Azure Functions, ADF etc
Creation of Azure infrastructure for the migration
Testing of pipelines, key vault secrets and Data
Environment: Azure Cloud (Azure Data Factory, Databricks)

Azure CloudData MigrationAzure FunctionsData EngineeringCloud Computing

Senior Data Engineer

Promoted

Dec 2022 – Aug 2023 · 8 mos · Paris, Île-de-France, France

Client | Technip, Paris (December 2022 – September 2023)
Project Description: Integrate the SERVICENOW data in Technip data platform by implementing dashboard for tracking all the incidents of SERVICENOW, which helped the business to take better decision.
Developed the pipelines for ingesting data from a REST API to ADLS (raw layer)
Implemented the incremental load by using water mark and delta tables
Managed a team of 2 data engineer and one data analyst in France
Took technical interview of a resource (from offshore team) for the project
Created dashboard in Azure devops and introduced the daily meeting to track the work load
Environment: Azure Synapse, SQL

Azure SynapseSQLData IntegrationData EngineeringData Analytics

Data Engineer

Jan 2021 – Dec 2022 · 1 yr 11 mos · Paris, Île-de-France, France

Client | VOLVO, Paris
Project Description: Creation of Unified Data Platform for ingesting/acquiring data from new source systems to Azure Cloud in a standardized way, i.e., logging, metadata handling, etc while being both generic and allowing multiple ingestion teams to operate autonomously.
Responsible for data monitoring and onboarding new team members for monitoring
Reported and advised the client about the failures in loading data, bugs status and escalation
Provided technical support to other dependent team for loading their data
Created pipelines for ingesting the data from on-premises to Azure environment
Participated in the goals, strategies, plans and actions for ingesting different sources of data to Azure
Implemented the archival of the old data, wrote stored procedure and used ADF
Tested data if they have arrived properly from on premise (Netezza) to Azure SQL
Environment: Azure Cloud (Azure Data Factory, Databricks, DevOps), SQL

Azure CloudData MonitoringData IngestionData Engineering

Data Engineer

Nov 2020 – Dec 2020 · 1 mo · Paris, Île-de-France, France

Client | SAUR, Paris
Project Description: Diagperm is a website for showing different contracts and information of Saur client depending on the data.
Worked on an algorithm which aimed to differentiate clients with different colors.
Environement : Azure Cloud (Databricks, DevOps), Spark, Scala, SQL

Azure CloudDatabricksSparkData Engineering

Data Engineer

Jun 2020 – Oct 2020 · 4 mos · Paris, Île-de-France, France

Client | Intermarché , Paris
Project Description: SNA is an analytical solution to facilitate negotiations with suppliers by bringing unreachable insights and available scattered and necessary information.
Worked in fast paced agile development environment to quickly develop use cases for the business on Azure Databricks
Correlated products / supplier prices with the raw material prices to qualify the potential of all negotiations
Analyzed and aggregated the different KPIs at different levels (references, contracts, suppliers, etc.)
Environment: Azure Cloud (Databricks, DevOps), Python, PySpark, SQL

Azure CloudDatabricksPythonData Engineering

Data Engineer

Jun 2020 – Oct 2020 · 4 mos · Paris, Île-de-France, France

Client | Intermarché , Paris
Project Description: SNA is an analytical solution to facilitate negotiations with suppliers by bringing unreachable insights and available scattered and necessary information.
Worked in fast paced agile development environment to quickly develop use cases for the business on Azure Databricks
Correlated products / supplier prices with the raw material prices to qualify the potential of all negotiations
Analyzed and aggregated the different KPIs at different levels (references, contracts, suppliers, etc.)
Environment: Azure Cloud (Databricks, DevOps), Python, PySpark, SQL

Azure CloudDatabricksPythonData Engineering

Data Engineer

Oct 2019 – Mar 2020 · 5 mos · Paris, Île-de-France, France · On-site

Client | Eramet Norway (ENO), Paris
Project Description: The aim of the application is to help metallurgists to monitor the metallurgical fusion and help in taking decision optimize the quality and cost of this process. The application was deployed on two Furnace. The main goal for me was to adapt the application (back-end) for the furnace 2.
Prepared notebooks on Azure Databricks for furnace 2 and adapted the backend code.
Integrated and analyzed data and prepared reports.
Communicated and collaborated with client on incidents, product features and roadmap
Transferred functional and technical knowledge to client
Environment: Azure Cloud (Databricks, DevOps), Python (Django), Docker

Azure CloudDatabricksPythonData Engineering

Atos

3 roles

Technical Consultant

Oct 2017 – Aug 2018 · 10 mos

Client | AIRLIQUIDE, Paris (Jan 2018 – August 2018)
Project Description: A one million euro project STELIO, is a system for tracking and managing stocks of gas cylinders, which helps in taking business decision depending on the management stock.
Ensured production monitoring and maintenance of the existing application.
Performed integration and functional tests and corrected bugs which lead to decrease of loss by 20%.
Participated in design process and technical solution.
Prepared reports for business decision by analyzing the gas cylinders stock.
Provided technical and user support on dedicated hotline to an international client
Prepared user manuals in English and trained the clients.
Environment: VISUAL STUDIO 2013, ASP.NET 4.5, C#, HTML5, CSS3, Ajax, JavaScript, TFS, HPQC
Client | RENAULT, Paris (June 2016 – November 2017)
Project Description: In order to develop a new solution of 3d modeling, created POC (proof of concept) to identify the best solutions in terms of resources, display time and rendering 3d images time.
Analyzed and performed an assessment of client situation in order to collect the requirement
Tested and implemented different solutions: CoreTechnologies, Technia, Siemens on the POC for comparative studies.
Coordinated the solution with international team based in Germany and India.
Environment: Django 1.11, Python3, HTML5, CSS3, Ajax, JavaScript, Three.js, Git, ATOM

ASP.NETC#JavaScriptSoftware Development

Technical Consultant

Jun 2016 – Oct 2017 · 1 yr 4 mos

Client | RENAULT, Paris
Project Description: Implementation of a portal for a new PLM (product lifecycle management) solution, which fulfils the demand of the diverse teams in terms of indicators, monitoring and file sharing. It is used by 3000 employees every day in Renault.
Re-engineered existing tool for the feasibility of business need and prepared documentation.
Gathered information from existing sites to challenge existing site in order to make it more effective.
Designed, developed and tested the solution in Django.
Conducted training sessions for sharing knowledge and encouraging team members to keep up-to-date with the project and organization’s rules to work effectively.
Environment: ATOM, Django 1.11, Python, HTML5, CSS3, Bootstrap, Chart.js, JavaScript, Linux, Apache
Client | RENAULT, Paris
Project Description: SMACC NET calculates and predicts the budgets for a financial year of Renault, based on the data received in different formats (from excels and ETL), from multiple sources and departments.
Application developed for SMACC NET using MVPVM with Scrum methodology
Managed SMACC NET packages for deployment
Functional and technical support.
Analysed business needs and existing tools
Interacted with the client for training and application improvement
Procured requirements and design specification
Clarified issues related to business and functional requirements
Planned and organized different phases of the project
Supported users (management change, documentation, training animation).
Environment: VISUAL STUDIO 2013, Framework 4.5., DEVEXPRESS 14.2.4, Oracle Sql Developer

DjangoPythonHTML5Software Development

Software Tester

Feb 2016 – May 2016 · 3 mos

Client | SOGECAP, Orléans (April 2016 – May 2016)
Project Description: IARD.net Auto is a tool for pre-sales and after sales of car (vehicle search from the registration number). It also offers dematerialization of pre-sales and sales documents (mail, PDF)
Prepared test scenarios (MOCKS) for web services
Executed test and raised defects.
Performed acceptance test using FitNesse test framework
Collaborated with the WEB development team to ensure the quality of deliverables
Wrote reports which explain the results.
Environment: SOAP UI, FitNesse, Spring Tool Suite

JavaPostgreSQLREST APISoftware Development

Cnrs

Researcher

Apr 2014 – Nov 2014 · 7 mos · Paris Area, France

Project Description: Created editor for Execandshare.org is a big data cloud platform for researchers and scientist for sharing their publications and run their code on the dedicated server of CNRS lab. The data are collected and run on different data sets on the cloud for finding their accuracy.
Added a REST service (in MVC) which allows to see all the authors as well as their publications.
Implemented and tested a data editor for taking the inputs in JSON in place of XML.
Analyzed and prepared reports on various existing platforms API’s
Environment: Java2E, JQuery, PostgreSQL, Mongo DB, RestAPI, HTML, Gradle, Eclipse

Java2EJQueryPostgreSQLMongo DBBig Data Cloud Platform Development