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ahmedashraffcih/README.md

Hi there

Results-driven Data Engineer | Azure Certified | GCP Certified Data Engineer with 4+ years of experience designing smart, scalable, and cost-efficient data solutions across healthcare, banking, and telecom. Specialized in cloud data architecture, real-time analytics, and AI-driven insights to drive faster, more informed decision-making. Proven track record of migrating large-scale data platforms, reducing cloud costs, and enabling quick access to critical data. Skilled at simplifying complex systems and aligning technical solutions with business goals to deliver measurable, high-impact results.

Key Strengths:

Cloud Platforms:

  • Microsoft Azure: Azure Synapse, Databricks, Microsoft Purview, Azure Storage Accounts, Azure Functions, Azure Container Apps, Azure Kubernetes Service (AKS), Azure DevOps, Azure Batch Jobs, and Azure Data Factory.

  • AWS: S3, Lambda, Glue, Data Catalog, Athena, EMR (EMR Server-less), EC2, Kinesis, RDS, Redshift, Snowflake, and ECR, CloudWatch, SNS, VPC, and IAM.

  • GCP: Cloud Composer, Cloud Functions, Dataflow, Bigtable, BigQuery, Pub/Sub, GCS, and Cloud SQL.

Tools & Technologies:

  • Python, SQL, Shell Programming, SSIS, DBT, Power BI
  • Hadoop, Spark, Kafka, Hive, Sqoop, Oozie

SQL Databases: MySQL, PostgreSQL, SQL Server, SingeStore, Snowflake, BigQuery, Synapse, Redshift. NoSQL Databases: CosmosDB, Bigtable, MongoDB. Graph Databases: Neo4j Data Lakes: AWS S3, Google Cloud Storage, Azure Storage Accounts, HDFS.

Development & Deployment Tools:

  • Airflow, Mage.ai, Dagster, Airbyte, Terraform, Jenkins, Docker, Git, GitHub Actions

Certifications:

  • Microsoft Certified Azure Data Engineer Associate
  • Google Cloud Professional Data Engineer
  • Google Associate Cloud Engineer

Areas of Expertise: Data Analysis and Visualization, Database Management, ETL Models (Extract, Transform, Load), Business Understanding, Data Visualization, BI Tools, Data Quality and Governance, Data Architecture, Programming, Big Data Technologies, ETL and Data Integration, Data Modeling, Data Security, Version Control, Cloud Computing, Big Data, Data Pipelines, RAG (Retrieval-Augmented Generation) Expertise, LLMs & AI Systems

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