QUANNA LOUTIN
Summary
Adaptable professional with background in developing and maintaining data systems within collaborative environment, seeking to transition into new field. Developed skills include data analysis and process optimization. Proven ability to drive impactful changes through data-driven insights.
Overview
3
3
years of professional experience
Work History
Data Engineer (Data Visualisation Engineer)
Forward Trust
10.2024 - Current
- Using Power BI, Python and SQL to maximise business intelligence across 5 nationwide specialisations.
- Leading Data Projects while Collaborating with Data Control Managers and Operational Managers.
- Maintaining and troubleshooting 20 + Power BI dashboards.
- Understanding how to best utilise data to help vulnerable people.
- Managing large SQL server data migration. Building and maintaining ETL pipelines.
- Designing and implementing scalable and reliable data pipelines and platforms using various technology
- Developed data pipelines using ETL tools to streamline data integration processes.
- Collaborated with cross-functional teams to identify data requirements and optimize data workflows.
Data Analyst
Islington GP Federation NHS
01.2023 - 10.2024
- Utilised Python, Power BI, EMIS, and Excel to Visualise and analyse NHS GP data by creating and maintaining 17 dashboards and providing funding data for 5 essential services.
- Conducted IT support for colleagues by troubleshooting and resolving 100% of user issues.
- Analyse products and preparing feedback to 5 plus department heads.
- Liaise with stakeholders to create over 50 complex EMIS searches inline with KPIs and data requests.
- Identify key areas of misalignment between GPs and national standards and developed targeted training programs that resulted in a 30% improvement in adherence and quality of care.
- Coordinate the design, development, and launch of 7 GP websites, resulting in increased online visibility and user accessibility
Population Health Data Analyst
One Care NHS
07.2022 - 10.2022
- Collaborated with health professionals to coordinate public health interventions
- Implemented R, SQL, Excel and Tableau to code, extract and visualise population health of over 1 million patients.
- Ensured excellent data quality and GDPR methods were upheld
- Analyzed health data to identify trends and support clinical decision-making.
- Developed dashboards in Tableau to visualize patient outcomes and operational metrics.
Education
Intensive Course - Data Engineering
Ai Core
London02-2024
BASc - Global Challenges (Global Innovation)
Brunel University
07.2022
Skills
- Cloud & Data Platforms: AWS (S3, RDS, Glue, Lambda, EC2), Databricks, Spark, PostgreSQL, SQL Server
- Programming & Data Processing: Python (OOP, Pandas, APIs), SQL, R, DAX; familiarity with Scala/Java for big data
- Data Engineering & Pipelines: ETL/ELT workflows, migrations, ingestion from APIs, curation for lakes/warehouses
- Data Architecture: Star-schema modeling, data warehouse design, governance and reliability
- Analytics & BI: Power BI, Tableau, KPI dashboards, reporting pipelines
- Collaboration & Consulting: Stakeholder engagement, agile delivery, translating requirements into scalable solutions
Projects
Multinational Retail Data Centralisation (SCV-style ETL & Data Modelling) (Feb 2024)
https://github.com/qloutin22/Multinational-Retail-Data-Centralisation
- Built a system to unify retail data from APIs, PDFs, JSON, and cloud Databases into a single customer/transaction view in PostgreSQL.
- Designed a star-schema model optimised for reporting and analytics, enabling a scalable CDP-like data platform.
- Processed and cleaned 100k+ records, resolving all integration bugs (100% fix rate), ensuring data accuracy and reliability.
Healthcare Data Migration (Pipeline Optimisation & Reliability) (Ongoing)
- Led SQL Server migration project across prison services, ensuring accuracy of financial and clinical data.
- Optimised query performance and reporting workflows, reducing latency, and improving finance-critical reporting reliability.
- Strengthened governance and compliance for operational and finance data.
ADDITIONAL INFORMATION
Strong interest in consulting, cloud engineering, and applying data solutions across diverse industries.
Timeline
Data Engineer (Data Visualisation Engineer)
Forward Trust
10.2024 - Current
Data Analyst
Islington GP Federation NHS
01.2023 - 10.2024
Population Health Data Analyst
One Care NHS
07.2022 - 10.2022
Intensive Course - Data Engineering
Ai Core
BASc - Global Challenges (Global Innovation)
Brunel University
Similar Profiles
OWEN MOYOOWEN MOYO
Mental Health Nurse, NMP, Substance Abuse at Forward TrustMental Health Nurse, NMP, Substance Abuse at Forward Trust
Trevor HodgsonTrevor Hodgson
Volunteer Support Worker at Forward TrustVolunteer Support Worker at Forward Trust
Julie NeilJulie Neil
Assistant Headteacher at Forward Education Trust - Leycroft AcademyAssistant Headteacher at Forward Education Trust - Leycroft Academy
Infan Rennish FranklinInfan Rennish Franklin
Data Visualisation Engineer – 4 at Comcast/SKYData Visualisation Engineer – 4 at Comcast/SKY
Pranabesh GhoshPranabesh Ghosh
Lead Data Engineer Data Engineer/Architectural Engineer at BeCSE,DelhaizeLead Data Engineer Data Engineer/Architectural Engineer at BeCSE,Delhaize