Data Engineer

Dunn&Co. is one of the Southeast US’s top creative, branding, and advertising agencies, known for award-winning marketing solutions across both digital and traditional media.

• Developed reporting structures and dashboards to monitor paid and owned media campaign performance.

• Integrated Google Analytics 4 (GA4), Google Tag Manager, and Databox/Datorama dashboards for real-time insights.

• Created proactive performance reports analyzing client websites and app engagement, enabling data-driven marketing adjustments.

• Worked with developers to implement GTM plans and enhance event tracking accuracy.

• Offered recommendations based on raw campaign data to improve ROI on media spending.

TMAC is a UK-based SaaS company revolutionizing customer experience by helping contact centers analyze customer interactions and coach agents effectively.

• Deployed TMAC’s analytics suite for enterprise and mid-market clients, ensuring smooth integration with client systems.

• Built and optimized ETL pipelines to process structured and unstructured data (audio, text).

• Supported engineering teams by diagnosing Python-based issues and writing automated tests.

• Implemented AWS services (Lambda, S3, EC2) for scalable deployment of data pipelines.

• Collaborated directly with client teams to design and deliver data transformation workflows.

• Enhanced reliability of analytics products through Dockerized deployments and CI/CD workflows.

Alpina Group is a Dutch financial services provider offering insurance, mortgages, pensions, and brokerage solutions, created by merging multiple regional companies under one unified brand.

• Provided expertise on data engineering challenges with a focus on SSIS and MySQL.

• Assisted in migrating and optimizing financial data pipelines for reporting and compliance.

• Designed database solutions to ensure data consistency and improve query performance.

• Consulted on best practices for ETL automation and long-term data scalability.

• Dataanalyse og visualisering ved hjelp av Power BI og Tableau.
• Bygge B2B-analyseøkosystemet for å betjene markedsførings- og salgsnisjer.
• Automatisering av generering av hyppige manuelle rapporter.
• Utforming av data mining-modeller for å imøtekomme B2B-innsiktsbehov.
• Utvikling av prissimuleringsmodeller.
• Automatisering av beregningssyklusen for SIP-relaterte KPI-er.
• Utviklet med hell en frafallsmodell til å analysere og forutsi kundefrafallsatferd og lage spådommer.

• Utvikle nettverksarkitektur ved å bruke Spark, YARN, Cloudera CDH og Hadoop.
• Bruk ulike statistiske verktøy til å tolke datasett, med fokus på å identifisere trender og mønstre som er verdifulle for diagnostiske og prediktive analyser.
• Utføre datarensing og utforskende dataanalyse (EDA) ved hjelp av Python, IMPALA, Hive, SQL, PySpark, Pandas og NumPy.
• Konstrue modeller for å løse forretningsproblemer, inkludert CNN, RNN, DNN, NLP, Computer Vision (CV), og TensorFlow/Keras.
• Presentere dashboards ved hjelp av datavisualiseringsteknikker, inkludert Tableau og MS Power-BI.

• Gjennomføre vurderinger og evalueringer og gi anbefalinger for målarkitekturstrategier og -prosesser.
• Konsultere om arkitekturrelaterte spørsmål, sikre samsvar med bedriftsdatastrategien.
• Anbefale migreringsstrategier, bedriftsarkitekturer, verktøy og infrastruktur som kreves for vellykket implementering av løsningen.

Vodafone Egypt is the largest mobile network operator in Egypt and part of Vodafone Group. It serves millions of subscribers nationwide.

• Analyzed network KPIs and trends daily, producing actionable reports for technical and business stakeholders.

• Identified new process improvement opportunities to optimize radio network performance.

• Translated annual market forecasts into technical plans to enhance coverage and customer experience.

• Contributed to the successful launch and nationwide rollout of 4G in Egypt.

• Implemented hotspot deployments and coverage upgrades across major cities.

• Awarded Vodafone Superior Performance (2016) and Excellence Project Award for 4G launch.

• Optimised radio network parameters to reach the optimum performance.

• Analysed network trends and seasonality based on daily data extraction.

• Performed seasonal and annual furcate for special events based on historical data analysis.

• Determined areas of improvement and expansion needs based on advanced data analysis

• Generated bi-weekly reports based on the network’s KPIs.

• Managed and supervised new trials, cluster optimization, main cities campaigns, and customers’ complaints

• Managed to develop an automated tool to report area KPIs with alerting system

• Acted as the Tech Lead of a team of two engineers, providing technical training

Achievements:

• Etisalat Excellent Project Award, June 2012

• The employee of the month: April 2013