Ala'a A.

Co-Founder

Riyadh, Saudi Arabia20 yrs 2 mos experience
AI EnabledAI ML Practitioner

Key Highlights

  • Over 15 years of experience in Big Data engineering.
  • Led a team to win a Microsoft-wide hackathon.
  • Expert in designing scalable data pipelines.
Stackforce AI infers this person is a Big Data Engineer with expertise in Data Science and Cloud Computing.

Contact

Skills

Core Skills

Ai StrategyStart-up LeadershipAi EngineeringCloud ComputingData EngineeringBusiness Intelligence (bi)Data ArchitectureBig DataMachine LearningData AnalysisData Science

Other Skills

AIAI AgentsAmazon Web Services (AWS)Apache AirflowApache FlumeApache ImpalaApache KafkaApache KuduApache NiFiAzure Data FactoryAzure Data LakeAzure DatabricksClouderaCo-creationDATA INTEGRATION

About

• A passionate and experienced Big Data engineer / analyst/ scientist/ architecture seeking challenging opportunities, where the creative ideas translated into products. • over 15 years of experience in architecture, design and development of Data platforms, including large clusters and Hadoop ecosystem projects. Leading Big Data team in telecom companies (Umianh in Jordan, MTN in Africa) in order to achieve relevant impact. Data analyst in Atos for more than 8 year for Income and Tax system in Saud Arabia. • Have a master degree in Data science and analytics from Cardiff university (UK) • Mixing technology and business skills to cover all project stages, from the needs understanding to the final delivery • Strong interpersonal skills, analytical skills, combined with intellectual curiosity, and a desire and ability to "get things done" • Working closely with both our technology experts as well as our data science experts to build and support the CoE in Data Science and AI operations. • Proven success working in and promoting a rapidly changing, collaborative, and iterative product development environment • Understanding of the “big picture” business requirements to drive architecture and design decisions • Solid experience in Data Ingestion, ETL, Data Cleansing, Data Processing, Data Warehousing, Business Intelligence, Text Mining, Data Mining, Automation. • Defining KPIs (how to measure a product’s performance) & extracting data for them. • Data modelling & data pipeline design: iterative data pipeline development from raw, curated, integrated to published data, with fit for use data modelling on Hadoop and NoSQL platforms. • Experience working in an agile/scrum environment using tools such as Atlassian Jira,Confluence and IBM rational. • Client facing skills: solid experience working in client facing / consulting environments, to be able to build trusted relationships with client stakeholders and act as a trusted adviser.

Experience

Datanexa.co

AI and Cloudification Expert

Jun 2024Present · 1 yr 9 mos · Saudi Arabia · On-site

Large Language Models (LLM)AI AgentsLangChainAI EngineeringCloud Computing

Ejada

GenAi expert

Feb 2023Jun 2024 · 1 yr 4 mos · Saudi Arabia

  • Team Leadership: Lead and mentor a team of data engineers, ensuring the delivery of high-quality solutions aligned with organizational goals.
  • Data Integration: Design, develop, and manage data pipelines using Informatica to enable seamless integration of data from various sources.
  • Real-Time Data Solutions: Architect and implement real-time data streaming and processing solutions to meet business requirements.
  • Scripting and Automation: Leverage Python for data manipulation, transformation, and automation of workflows to optimize data processes.
  • Collaboration: Work closely with cross-functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and provide scalable solutions.
  • Data Governance: Ensure data accuracy, quality, and security by implementing and enforcing best practices for data management.
  • Performance Optimization: Monitor and optimize the performance of ETL pipelines and data workflows to minimize latency and improve efficiency.
  • Documentation and Reporting: Maintain detailed documentation of data processes, pipelines, and infrastructure, and provide regular reports to stakeholders.
  • Scalability: Design systems and frameworks that can scale to handle large volumes of data while maintaining real-time processing capabilities.
  • Innovation: Stay updated on emerging technologies and best practices in data engineering to drive continuous improvement and innovation.
Data EngineeringBusiness Intelligence (BI)Team ManagementInformatica PowerCenterTeradataTeradata Data Warehouse+1

Microsoft

Principal Software Engineer

Jun 2021Jan 2023 · 1 yr 7 mos · Jordan · Hybrid

  • As a Technical Specialist for Power BI, I provided expert-level technical assistance to large companies using the product. This involved troubleshooting and resolving complex technical issues, conducting in-depth product analyses, and identifying and escalating critical issues to the appropriate teams. Additionally, I provided guidance and training to customers and internal teams on how to effectively use Power BI, including best practices for data modeling and visualization design.
  • In addition, I collaborated with the product group to prioritize bug fixes and enhancements, and participated in testing and validating new features and functionality. Through my work, I demonstrated strong technical and analytical skills, excellent communication and collaboration abilities, and a passion for delivering high-quality customer support.
  • I led a team that won 1st place and was awarded the innovator prize at a Microsoft-wide hackathon. Our project, which utilized AI to find similarities with open customer cases, was one of 800 projects submitted across Microsoft. We leveraged machine learning techniques to analyze large volumes of customer cases and recommend possible solutions to support engineers in real-time. Our solution significantly reduced the time taken to resolve customer cases, resulting in improved customer satisfaction and reduced support costs for the company. The project is now live and has been adopted by over 7,000 employees across Microsoft. Through this experience, I demonstrated strong technical skills, innovative thinking, and the ability to collaborate effectively with team members to achieve a shared goal. The project was awarded the innovator prize in a hackathon for CSS 2022.
Data ArchitectureBig DataData EngineeringCloud ComputingMicrosoft Power BI

Grenoble partners

Data Scientist /Big Data Engineer

Apr 2020Dec 2022 · 2 yrs 8 mos · United States

  • Cloudera Platform, Data Science use cases.
  • Data Engineering/Science
  • PowerBI
Data ArchitectureBig DataData ScienceData EngineeringCloud ComputingMachine Learning+1

Saudi manpower solutions co. (smasco)

Data Scientist

Oct 2019Jun 2021 · 1 yr 8 mos · Jordan

  • Design DWH, Build data pipelines and lead data engineer team
  • Design, model, develop and maintain data sets to be used for data science and AI • Build Data Science Models to enhance manpower utilization (Linear Regression) • Build NLP model for twitter messages sentiment analysis to enhance customer experience. • Developing a state-of-the-art NLP model for multi-label classification from chat conversations with customers to automate operational processes (SVM, LSTM, RandomForestClassifier ML)
Data ArchitectureBig DataData ScienceData EngineeringCloud ComputingMicrosoft Power BI

Ligadata

Sr. big data engineer

May 2019Sep 2019 · 4 mos · Amman, Jordan

Data ArchitectureBig DataData ScienceData EngineeringCloud ComputingMicrosoft Power BI

Prophecy labs

Sr. Data Engineer

Jan 2019May 2019 · 4 mos · Remotly

  • Take ownership and responsibility for the quality of data with consideration of efficiency, performance, and cost.
  • Design, model, develop and maintain data sets to be used for data science and AI
  • Building infrastructure on the cloud (AWS) and data pipelines to ingest, clean and process data using --python and Airflow, AWS tools and deliver reports using Amazon Quicksight.
  • Batch processing data using airflow and python and Docker.
  • Build data pipelines to feed machine learning models that predict the mobile users’ behaviors.
Data ArchitectureBig DataData ScienceData EngineeringCloud ComputingMicrosoft Power BI+1

Umniah

Lead Big Data Engineer

Jun 2018Apr 2019 · 10 mos · Jordan

  • Hadoop (Cloudera) Project:
  • Working on designing and implementing complete end-to-end big data pipelines using Sqoop, Flume, Kafka, Spark, Kudu, HBase and build real time streaming using StreamSet.
  •  Utilizing Airflow for scheduling and monitoring ELT jobs.
  •  Achieve a appreciation prize from the company to find a solution that ingest real time streaming data from oracle db without need to purchase expensive tool such as GoldenGate.
  •  Migration some data resources from Microsoft APS to Hadoop.
  • APS Project :
  •  Reengineering EDW (Microsoft APS) and rebuilding data pipeline.
  •  Build data cubes that serve digital and marketing departments.
  •  Enhance heavy ETL jobs performance to be 30 times faster (using Pandas, Regex). Create and maintain optimal data pipeline architecture.
  •  Assemble large, complex data sets that meet functional / non-functional business requirements
  •  Identify, design and implement process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  •  Design and build the infrastructure for data extraction, preparation, and loading of data from a variety of sources.
  •  Build analytics tools that utilize the data pipeline to provide insights
  •  Work with data and analytics expert teams to strive for greater functionality in our data systems and rebuilding data pipeline.
  • build data cubes for marketing and digital departments.
Data ArchitectureBig DataData ScienceData EngineeringCloud ComputingMachine Learning+1

Public health wales

Data Scientist (Internship)

Jun 2017Oct 2017 · 4 mos · Cardiff, United Kingdom

  • Carrying out Spatial and Space-Time Scan clustering analysis methods to detect outbreaks of infectious disease from routine data. Use mathematical knowledge and skills to appraise these methods.
  • Developed automated anomaly detector tools using R and Python to uncover the risk of outbreaks early, filter data collection results, manipulate and linking the data sources, apply clustering algorithms, generate PDF reports and plot geographical maps of the clusters of STIs with high rate risks in wales.
  • Currently, I am writing a paper for publishing the results of the research jointly with of Public Health Wales.
Data ArchitectureBig DataData ScienceData EngineeringCloud ComputingMicrosoft Power BI

Datavectors

CAIO

Jan 2011Present · 15 yrs 2 mos

Start-up LeadershipStart-up VenturesCo-creationVenture CapitalAI StrategyGenAi+2

Atos

Data Analyst

Jul 2007Mar 2016 · 8 yrs 8 mos · Saudi Arabia

  • Manipulating, cleansing, transform, and extract data extraction and migration using SQL, ODI and ETL tools.
  • Rebuilding the entire crystal reports for Income and Tax system and improve the performance by changing the design of the reports and the relations between the tables and using enhanced SQL to replace some tables. Changing the databases connections and using replica database to reduce the effects on OLTP database.
  • Develop Java ETL application to bring missing payment notifications by loading data from two different RDB (Oracle and Microsoft SQLSever), and process payments and ensure full integration between Tax system and the third-party system (Payment system).
  • Prepare and interpret data, analyze results using statistical techniques and provide ongoing reports.
  • Develop and Build statistics using BI Application for Tax System (ERIS).
  • Analysis and Develop and implement data collection systems and other strategies that optimize Statistical efficiency and Data Quality. Locate and define new process improvement opportunities.
  • Moderate to complex SQL scripting to automate and support the database
  • Filter, clean and prepare data for analysis. Review reports and performance indicators to locate and correct code problems
  • Create UNIX shell scripts for execution of Oracle stored procedures and other queries to process data and writing scripts to call programs.
  • Generate ad-hoc management reports based on client requirements.
  • Performed testing on Triggers, Index and Stored Procedures and modify them to meet requirements with best performance.
  • Optimization for data queries by indexing and partitioning data and improving the SQL scripts.
  • Design business flows, and review existing flows using flex studio.
Data ArchitectureBig DataData ScienceData EngineeringCloud ComputingMicrosoft Power BI

Bull

Software Engineer

Feb 2006Jul 2007 · 1 yr 5 mos · Saudi Arabia

  • Developing “Servlets” classes to serve customers, process control and data collection enhancing product reliability, maintaining the web applications on the server (J2EE).
  • Programming systems for questionnaires and researches, increasing stability and functionality for existing systems, develop HBDI system (Herrmann Brain Dominance Instrument) which can isolate out and measure the strength of preference for each of the four distinct thinking parts of the brain, which have very complex equations.
  • Writing necessary SQL queries and stored procedures.
Data ArchitectureBig DataData EngineeringCloud ComputingMicrosoft Power BIData Analysis

Education

Cardiff University / Prifysgol Caerdydd

Master of Data science and Data Analytics. — Data Science

Jan 2016Jan 2017

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