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Ahmed D.
Data Engineer
Ahmed har over 13 års omfattende erfaring som professionel inden for dataanalyse og Business Intelligence med speciale i dataanalyse og visualisering.
Han har bred erfaring med datarensning og undersøgende dataanalyse (EDA) og bruger en bred vifte af værktøjer og programmeringssprog som Python, IMPALA, Hive, SQL, PySpark, Pandas, NumPy, TensorFlow og Keras.
I løbet af sin professionelle karriere har Ahmed blandt andet haft stillinger som Senior Big Data, dataforsker og Data Architecture-konsulent med ekspertise inden for RF-planlægning og -optimering, kapacitetsplanlægning og trådløs løsningsarkitektur.
Hovedekspertise
- Apache Hive 5 år

- Apache Kafka 4 år
- Apache Spark 5 år
Andre færdigheder
- AB Initio 3 år
- Keras 2 år

- Budget Management 2 år
Udvalgt oplevelse
Beskæftigelse
Data Engineer
Dunn&Co (via Proxify) - 7 måneder
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.
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Developed reporting structures and dashboards to monitor paid and owned media campaign performance.
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Integrated Google Analytics 4 (GA4), Google Tag Manager, and Databox/Datorama dashboards for real-time insights.
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Created proactive performance reports analyzing client websites and app engagement, enabling data-driven marketing adjustments.
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Worked with developers to implement GTM plans and enhance event tracking accuracy.
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Offered recommendations based on raw campaign data to improve ROI on media spending.
Teknologier:
- Teknologier:
HTML
Python
SQL
- Data Science
- Data Engineering
Large Language Models (LLM)
-
Data Engineer
The Modular Analytics Company (TMAC) (via Proxify) - 11 måneder
TMAC is a UK-based SaaS company revolutionizing customer experience by helping contact centers analyze customer interactions and coach agents effectively.
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Deployed TMAC’s analytics suite for enterprise and mid-market clients, ensuring smooth integration with client systems.
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Built and optimized ETL pipelines to process structured and unstructured data (audio, text).
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Supported engineering teams by diagnosing Python-based issues and writing automated tests.
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Implemented AWS services (Lambda, S3, EC2) for scalable deployment of data pipelines.
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Collaborated directly with client teams to design and deliver data transformation workflows.
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Enhanced reliability of analytics products through Dockerized deployments and CI/CD workflows.
Teknologier:
- Teknologier:
MySQL
Docker
PostgreSQL
AWS
Python
AWS Lambda
AWS S3
DynamoDB
Jira
Snowflake
ETL
AWS EC2
Tableau
Large Language Models (LLM)
- Azure Stack
-
Data Engineer
Alpina Group BV (via Proxify) - 4 måneder
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.
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Provided expertise on data engineering challenges with a focus on SSIS and MySQL.
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Assisted in migrating and optimizing financial data pipelines for reporting and compliance.
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Designed database solutions to ensure data consistency and improve query performance.
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Consulted on best practices for ETL automation and long-term data scalability.
Teknologier:
- Teknologier:
MySQL
SQL
SSIS
ETL
- 3D
Large Language Models (LLM)
- Azure Stack
-
Data Analytics & BI Senior Supervisor
Orange - 2 flere år 10 måneder
– Dataanalyse og -visualisering ved hjælp af Power BI og Tableau. – Opbygning af B2B-analyseøkosystemet til at betjene marketing- og salgsvertikalerne. – Automatisering af genereringen af hyppige manuelle rapporter. – Design af data mining-modeller med henblik på at opfylde B2B-indsigtsbehov. – Udvikling af prissimuleringsmodeller. – Automatisering af beregningscyklussen for SIP-relaterede KPI'er. – Vellykket udvikling af en churn-model til at analysere og forudsige kundechurn-adfærd og komme med forudsigelser.
Teknologier:
- Teknologier:
Flask
Qlik View
Qlik Sense
Azure Queue
Azure Data Factory
PyTorch
Scikit-learn
- ELT
- Data Analytics
Azure ML
- Clustering
- SVM
- PCA
Convolutional neural network
- Recurrent neural network
AB Initio
SPSS
- NLP
Machine Learning
- Computer Vision
Cuda
Tableau
Plotly
dbt
Apache ZooKeeper
Looker
Dataflow
Large Language Models (LLM)
- Azure Stack
PySpark
Big Data & Data Scientist
Etisalat Misr - 5 måneder
- Udvikling af netværksarkitektur ved hjælp af Spark, YARN, Cloudera CDH og Hadoop.
- Anvendelse af forskellige statistiske værktøjer til fortolkning af datasæt med fokus på at identificere tendenser og mønstre, der er vigtige for diagnostisk og prædiktiv analyse.
- Datarensning og undersøgende dataanalyse (EDA) ved hjælp af Python, IMPALA, Hive, SQL, PySpark, Pandas og NumPy.
- Udarbejdelse af modeller til løsning af virksomhedsproblemer, herunder CNN, RNN, DNN, NLP, Computer Vision (CV) og TensorFlow/Keras.
- Præsentation af kontrolpaneler ved hjælp af datavisualiseringsteknikker, herunder Tableau og MS Power-BI.
Teknologier:
- Teknologier:
Qlik View
Qlik Sense
Azure Data Factory
TensorFlow
NumPy
Keras
Pandas
Cloudera
PyTorch
- Clustering
- PCA
Convolutional neural network
- Recurrent neural network
AB Initio
Apache NiFi
Machine Learning
Cuda
Tableau
Hadoop
Apache ZooKeeper
Large Language Models (LLM)
PySpark
Dataarkitektur
Trend Solutions - 3 flere år 8 måneder
- Gennemførelse af vurderinger og evalueringer og anbefalinger til målarkitekturstrategier og -processer.
- Rådgivning om arkitekturrelaterede problemer og overensstemmelse med virksomhedens datastrategi.
- Anbefaling af migrationsstrategier, virksomhedsarkitekturer, værktøjer og infrastruktur, der er nødvendige for en vellykket implementering.
Teknologier:
- Teknologier:
Azure Data Factory
TensorFlow
NumPy
Keras
Pandas
PyTorch
Scikit-learn
- ELT
Azure ML
- PCA
Convolutional neural network
- Recurrent neural network
- NLP
Machine Learning
- Computer Vision
Cuda
Hadoop
Plotly
dbt
Dataflow
Large Language Models (LLM)
RF Planning Senior Specialist
Vodafone EG - 3 flere år
Vodafone Egypt is the largest mobile network operator in Egypt and part of Vodafone Group. It serves millions of subscribers nationwide.
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Analyzed network KPIs and trends daily, producing actionable reports for technical and business stakeholders.
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Identified new process improvement opportunities to optimize radio network performance.
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Translated annual market forecasts into technical plans to enhance coverage and customer experience.
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Contributed to the successful launch and nationwide rollout of 4G in Egypt.
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Implemented hotspot deployments and coverage upgrades across major cities.
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Awarded Vodafone Superior Performance (2016) and Excellence Project Award for 4G launch.
Teknologier:
- Teknologier:
- Budget Management
SQL
- Data Analytics
-
Radio Optimization Senior Engineer
Etisalat Misr - 1 år 11 måneder
-
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.
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Determined areas of improvement and expansion needs based on advanced data analysis
-
Generated bi-weekly reports based on the network’s KPIs.
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Managed and supervised new trials, cluster optimization, main cities campaigns, and customers’ complaints
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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
Teknologier:
- Teknologier:
- Budget Management
- Data Analytics
- NLP
-
Uddannelse
MSc.Big Data & Data Science
Nile University, Giza, Egypten · 2022 - 2024
BSc.Elektronik- og kommunikationsteknik
Cairo University, Cairo, Egypten · 2005 - 2009
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