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$55/hr Full-time dedicated Best value
KM-0024
Data Engineer
Germany
Available immediately
Full-time Dedicated
Muhammad Khurram Meraj is a Data Engineer with strong experience in designing, building, and optimizing scalable data pipelines and cloud-based data solutions using Microsoft Azure and AWS. He has hands-on expertise in Azure Data Factory, Synapse Analytics, Data Lake, Databricks, and Power BI, with proven results in improving pipeline performance, reducing runtime, and automating workflows using Python. He has worked on enterprise-level Azure tenant migration projects involving end-to-end data architecture components including ADF pipelines, Data Lake, Synapse, Functions, and Logic Apps. His background also includes AI/ML engineering, where he developed OCR systems, anomaly detection models, and computer vision solutions using Python-based frameworks. He is proficient in SQL, Python, and API integrations, with strong knowledge of ETL/ELT processes, data modeling, and cloud data engineering practices.
Senior Data Engineer
InLinkers CX
2025 - Present
• Leading development of scalable cloud-based data pipelines using Azure and AWS services. • Designing and optimizing ETL/ELT workflows using Azure Data Factory, Synapse Analytics, and Databricks. • Managing end-to-end data architecture including Data Lakes, APIs, and real-time data processing systems. • Improving pipeline performance, automation, and data processing efficiency using Python and SQL. • Collaborating with stakeholders to deliver analytics solutions and integrate external APIs for business insights.
Data Engineer
Systems Limited
2022 - 2025
• Worked on Azure tenant migration, moving the entire Azure data architecture to a new tenant including Data Factory pipelines, Data Lake, Synapse, Function Apps, Logic Apps, and Databricks workloads. • Built and maintained production data pipelines using Azure Data Factory and improved automation using Python (≈40% reduction in manual effort). • Optimized Azure Data Factory pipelines, reducing runtime from 7–8 hours to 3–4 hours. • Integrated Azure Synapse Analytics, Data Lake, and Power BI for end-to-end analytics and reporting. • Improved SQL stored procedures, achieving ~30% faster data processing. • Worked with external APIs (Google, Meta, Adobe) for data extraction and integration. • Collaborated with clients and internal teams for requirements gathering and solution delivery.
AI & ML Engineer
The Disrupt Labs
2020 - 2022
• Developed OCR solutions using PaddleOCR, EasyOCR, and Tesseract OCR for data extraction. • Applied image processing techniques to improve OCR accuracy and data quality. • Built anomaly detection systems using ML/DL models (YOLOv4/YOLOv5). • Designed computer vision applications with PyQt and SQL backend integration. • Integrated real-time OCR systems using APIs for live data processing.
AWS Certified Cloud Practitioner
Amazon Web Services
No date specified
Databricks Certified Data Engineer Associate
Databricks
No date specified
PythonSQLJavaScript (NodeJS)Bash/ShellAzure Data FactoryAzure Synapse AnalyticsAzure Data Lake (Gen1 & Gen2)Azure Blob StorageAzure SQLAzure FunctionsAzure Logic AppsDatabricksAWS S3AWS LambdaAWS GlueAWS EC2PandasNumPyMatplotlibSeabornBokehScikit-learnPySparkXGBoostTransformers (Hugging Face)OpenAI APIMySQLSQLiteSQL ServerOracleDockerGitGitHubPower BIPostmanSwaggerRESTful APIsSSISVS CodeJupyter NotebookFastAPIFlaskNodeJSOAuth2Google Ads APIMeta APIAdobe APIETL/ELT PipelinesData WarehousingData ModelingData LakesBatch ProcessingStream ProcessingData QualityData GovernanceAgile/ScrumJiraProject ManagementUnit TestingIntegration TestingOCRComputer VisionYOLOv4YOLOv5PyQtStreamlitLSTMLinear RegressionAzure CloudAWS CloudMicrosoft PowerPoint.
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