Roshdy Tech
Services
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our mission

At Roshdy Tech, our mission is to empower businesses by delivering innovative data engineering and architectural solutions that transform complex data challenges into strategic assets. We are committed to providing tailored services that enhance data integration, quality, and governance, enabling our clients to make informed decisions and achieve sustainable growth. Through a client-centric approach and a dedication to excellence, we strive to be the trusted partner for organizations seeking to harness the full potential of their data.

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Our services

Our comprehensive suite of services is designed to address the diverse data needs of modern enterprises

Detailed services
Data Engineering

Data Pipelines: Design robust ETL/ELT pipelines using tools like Informatica, AWS Glue, and Azure Data Factory.
Real-time Processing: Implement real-time data workflows with Apache Spark and Kafka.
Cloud Data Solutions: Optimize data infrastructure on AWS, Azure, and Snowflake.

Data Architecture & Modeling

Data Warehousing: Build scalable warehouses using Snowflake and Redshift.
Data Modeling: Create efficient schemas for relational and NoSQL databases (Cassandra, MongoDB).
Optimization: Performance tuning for SQL queries and databases.

Data Governance & Quality

Governance Frameworks: Implement data governance using Collibra for compliance.
Metadata Management: Enhance data traceability and transparency.
Quality Checks: Conduct data profiling and validation.

Business Intelligence & Analytics

Dashboards: Develop interactive reports with Power BI and Tableau.
Predictive Analytics: Build ML models using Python and Spark MLlib.
Custom Visuals: Create tailored visualizations with Matplotlib.

Cloud Data Solutions

Cloud Migration: Seamless transition to AWS, Azure, or GCP.
Cost Optimization: Reduce cloud service costs while boosting performance.
IaC Automation: Automate infrastructure with Terraform.

Data Integration & APIs

API Integration: Connect data sources via RESTful APIs.
ETL/ELT: Efficient data extraction, transformation, and loading with Talend and Airflow.
Big Data Ingestion: Utilize Hadoop and Spark for large data processing.

meet out team

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Sana Goel

Accountant

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Kelvin James

Manager

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annie Wilson

Director

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