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Khalid AbdelatyKhalid AbdelatyData Engineer & Technical Writer

Open to data engineering roles

Data Engineer · Technical Writer · Egypt

Data engineer who turns complex systems into clear stories.

AWS Certified Data Engineer with 64 published articles reaching 50,000+ readers. I build data systems with Spark, Kafka, Airflow, dbt, and Snowflake, then explain them for developers.

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Trusted by 6,000+ community members

Apache SparkApache KafkaAirflowdbtSnowflakeAWSPythonSQLDatabricksDockerTerraformPostgreSQLApache SparkApache KafkaAirflowdbtSnowflakeAWSPythonSQLDatabricksDockerTerraformPostgreSQL

0K+

Article Readers

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Community Members

0

Certifications

0

Events Organized

Experience

Engineering, writing, and community leadership.

Where I worked, what I shipped, and the technical context behind it.

DataCamp

2025 — Present

DataCamp

Technical Content Writer (Freelance)

Remote

64 published articles reaching 50,000+ cumulative readers across data engineering, AI, cloud, and developer tooling topics. Consistent top-performer in engagement metrics.

Technical WritingData EngineeringAICloud
Digital Egypt Pioneers Initiative (DEPI)

Jun 2024 — Dec 2025

Digital Egypt Pioneers Initiative (DEPI)

Data Engineering Intern (2 tracks)

Remote · Hybrid

  1. Jun 2025 — Dec 2025 · 7 mos

    Huawei Big Data Engineer · Remote

    • HCIA & HCIP Big Data, data mining, and prompt engineering on Huawei technologies.
    • Capstone: a real-world big-data project applying the full track end to end.

  2. Jun 2024 — Dec 2024 · 6 mos

    Microsoft Data Engineer · Hybrid

    • SQL Server, SQL data warehousing, Python, and Agile/Scrum fundamentals.
    • Azure Data Fundamentals plus MLOps with MLflow and Hugging Face, toward the Azure Data Engineer Associate certification.
Big DataHuaweiAzureSQLMLOps
ITI (Information Technology Institute)

Jun 2025 — Sep 2025 · 4 mos

ITI (Information Technology Institute)

Business Intelligence Trainee

Hybrid

Completed ITI's Summer Code Camp — Business Intelligence track, a 120-hour blended program covering Data Warehousing, SQL Server, Advanced SQL, Power BI, Tableau, Excel analysis, and statistics. Sharpened BI and data-analysis skills, bridging academic knowledge with real-world tools and industry practices.

Power BIData WarehousingSQL ServerTableau
Tanta University

2022 — 2026

Tanta University

Computer Science B.Sc.

Tanta, Egypt

Graduated July 2026. Core coursework: Distributed Systems, Neural Networks, Database Management, Compiler Design, Computer Networks, Image Processing.

Computer ScienceDistributed SystemsNeural Networks

Projects

Data products built with tradeoffs in mind.

Architecture, monitoring, and recovery — not just happy-path demos.

Mini Resilient Data Platform architecture preview

Mini Resilient Data Platform

End-to-end streaming platform that ingests real-time events through Kafka, processes them with Spark Structured Streaming, lands curated outputs in PostgreSQL, and uses Airflow for batch reconciliation.

  • Runs end to end on a single machine via Docker Compose, with service-level isolation so one failing component never takes down the pipeline.
  • Uses Kafka consumer groups and Spark checkpoints to preserve processing continuity across restarts.
  • Production monitoring path: consumer lag, failed batches, Spark checkpoint health, and database write latency.
PythonApache KafkaApache SparkPostgreSQLDockerAirflow
Code
News Intelligence Pipeline architecture preview

News Intelligence Pipeline

Analytics pipeline that ingests news from external APIs, standardizes it with dbt models, loads Snowflake-ready tables, and produces a cleaner dataset for topic and source analysis.

  • Isolates ingestion, modeling, and serving layers so an upstream API failure never corrupts downstream analytics tables.
  • Uses dbt models to make transformations reviewable, testable, and easy to extend.
  • Production monitoring path: API freshness, model test failures, warehouse cost, and source coverage drift.
PythonAirflowdbtSnowflakeREST APIsData Modeling
Code

What I do

Three things, done with care.

I sit at the intersection of building data systems, explaining them clearly, and growing the communities around them.

Build data systems

End-to-end pipelines with Spark, Kafka, Airflow, dbt, and Snowflake — designed for recovery, observability, and scale.

Explain them clearly

64 published articles for 50,000+ readers. I turn complex engineering into code-first tutorials developers actually finish.

Grow communities

Egypt's largest DataCamp community (6,000+ members), first Cursor Ambassador, and AWS Community Builder.

Writing

64 articles for 50,000+ readers.

A scannable archive of technical writing across AI, data engineering, cloud, DevOps, and Git.

Most read

DataCampDataCampData Engineering

Linear Programming: Solving Real-World Optimization Problems

Learn how linear programming transforms complex decision-making into solvable mathematical problems. Discover optimization techniques, solution algorithms, and practical Python implementations for resource allocation, scheduling, and planning challenges.

Oct 2025· 18,000 views
DataCampDataCampData Engineering

Delta Lake: A Practical Introduction with Hands-On Examples

Learn the fundamentals of Delta Lake, from setup to advanced features like time travel and schema evolution, with PySpark examples.

Feb 2025· 16,000 views
DataCampDataCampGit

Git Init: How to Initialize and Set Up a Git Repository

Learn how to set up a Git repository with git init, connect to a remote, configure settings, and troubleshoot common issues—all in one beginner-friendly guide.

Mar 2025· 15,000 views
DataCampDataCampGit

Git Reset Soft: Complete Guide with Examples

Master git reset --soft with practical examples, workflows, and safety protocols. Learn to manage commit history, split commits, and optimize your Git workflow.

Sep 2025· 14,000 views
DataCampDataCampGit

Git Amend Explained: A Step-by-Step Guide with Examples

This comprehensive guide teaches you how to use git commit --amend to correct mistakes, add forgotten changes, and manage Git history.

Jun 2025· 13,000 views
DataCampDataCampData Engineering

Data Masking: Best Practices for Secure Data Use

Learn how data masking protects sensitive information while maintaining data realism for development, testing, and analytics. Discover techniques, best practices, and more.

Oct 2025· 12,000 views

Full archive

58 more pieces

Skills & Certifications

Capability groups and credentials.

Clean clusters and visible certifications, easy for recruiters and ATS parsers to read.

Engineering

Apache SparkApache KafkadbtApache AirflowPythonSQLAWSData ModelingPySparkPandasPostgreSQLSnowflakeDockerTerraformREST APIsETL/ELT PipelinesDatabricksRedisFastAPICI/CD

Writing & Docs

Technical WritingCode-First TutorialsTutorial WritingAPI Technical DocumentationDeveloper AdvocacySEO for Technical ContentGhostMarkdownEditorial Workflow

Cloud & DevOps

AWS Certified (DEA-C01)Azure Data EngineerS3LambdaGlueRedshiftEC2RDSCloudWatchAzure Data FactoryIAMVPCCloudFormation

Community & Leadership

Community ManagementPublic SpeakingEvent OrganizationCursor Ambassador (Egypt)AWS Community BuilderDataCamp EvangelistWorkshop FacilitationHackathon Organizing
Amazon Web Services

Amazon Web Services

AWS Certified Data Engineer Associate

DEA-C01 · 2025

DataCamp

DataCamp

DataCamp Certified Data Engineer

Data Engineer · 2025

Microsoft

Microsoft

Microsoft Azure Data Engineer

Azure Data Engineering · 2024

How I work

From constraint to documented system.

01

Understand

Start from the real constraint — data shape, failure modes, and who consumes the output — before writing a line.

02

Build & harden

Ship pipelines that survive restarts and bad input, with monitoring baked in from day one.

03

Document

Leave behind clear writeups so the system, and the next engineer, is easy to reason about.

“The best data systems are the ones people can actually understand. I build for clarity first — then I write it all down so the next person moves faster.”

Khalid Abdelaty

Data Engineer & Technical Writer

Community

Community work that backs the technical brand.

Leadership and advocacy across Cursor, DataCamp, AWS, and Microsoft. Tap a card to expand its timeline.

  1. May 2026 — Present

    Regional Leader — North Africa & Middle East

    • Promoted from Ambassador into Cursor's invitation-only Regional Leaders Program; drives bimonthly partnership initiatives, UGC content with Cursor's brand marketing team, and outreach to universities, bootcamps, and developer communities.
    • Reviews 2–4 Ambassador applications per cycle, mentors community leaders, and surfaces structured product feedback in monthly syncs with Cursor's core team.

  2. Aug 2025

    Founder — Egypt's first official Cursor community

    • Organized Egypt's first official Cursor events: ITI Tanta (130 attendees), Cairo (65), and the Masterclass (54).
    • Led the Cursor Hackathon Alexandria and built a custom Next.js credit-claim site for the Masterclass.
  • Founded and grew Egypt's DataCamp community to 6,000+ members
  • Organized regular learning sessions, workshops, and events
  • Bridged Egyptian data practitioners with global resources
  • Selected as AWS Community Builder in the Data & Analytics category
  • Creates technical content on AWS data services for the community
  • Served as President of the Microsoft Student Club at Tanta University
  • Organized technical workshops and mentoring sessions for students

FAQ

Questions, answered.

The quick facts recruiters, editors, and collaborators ask most.

Who is Khalid Abdelaty?

Data engineer and technical writer with a B.Sc. in Computer Science from Tanta University (2026), specializing in building data systems and explaining them clearly. I've reached 50,000+ developers through DataCamp tutorials while leading communities of 6,000+ members. As an AWS Community Builder and Cursor Ambassador, I bridge the gap between engineering complexity and developer education.

What does Khalid Abdelaty do?

Khalid is a data engineer and technical writer. He builds end-to-end data systems with Apache Spark, Apache Kafka, Airflow, dbt, and Snowflake, and writes code-first tutorials that explain those systems to developers.

What technologies does Khalid Abdelaty specialize in?

His core stack is Python, SQL, Apache Spark, Apache Kafka, Apache Airflow, dbt, Snowflake, and AWS (S3, Lambda, Glue, Redshift). He also works with Docker, Terraform, PostgreSQL, and Azure data services.

Is Khalid Abdelaty available for hire?

Yes. Khalid is open to data engineering roles, technical writing collaborations, and community partnerships. Book a 15-minute intro call at https://cal.com/khalid-abdelaty/15min, use the contact form on this site, or email khalidabdelatty80@gmail.com.

Where can I read Khalid Abdelaty’s writing?

Khalid has published 64 articles read by 50,000+ developers, mainly on DataCamp, plus the Microsoft Tech Community and dev.to. The Writing section of this site links to every piece.

What certifications does Khalid Abdelaty hold?

He is an AWS Certified Data Engineer Associate (DEA-C01), a DataCamp Certified Data Engineer, and a Microsoft Azure Data Engineer. He is also an AWS Community Builder and Egypt’s first Cursor Ambassador.

Let’s work together

Building something with data?

I’m open to data engineering roles, technical writing, and community partnerships.

Get in touchBook a callDownload Resume

Contact

Let’s talk data, writing, or community.

Use the form, email directly, or connect through LinkedIn.

Inquiry type

Replies within 48 hours.