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Schedule Interview NowMy name is Eman Ali M. and I have over 17 years of experience in the tech industry. I specialize in the following technologies: Project Management, Amazon Web Services, ETL Pipeline, Apache NiFi, AWS Lambda, etc.. I hold a degree in Masters. Some of the notable projects I’ve worked on include: Medical Data Platform and AI Strategy Implementation, Telecom Data Lake Platform Modernization, Advanced Data Pipeline Monitoring and Optimization System, Multi-Source Big Data Lake Architecture, E-commerce Analytics and Intelligence Platform, etc.. I am based in Islamabad, Pakistan. I've successfully completed 24 projects while developing at Softaims.
My expertise lies in deeply understanding and optimizing solution performance. I have a proven ability to profile systems, analyze data access methods, and implement caching strategies that dramatically reduce latency and improve responsiveness under load. I turn slow systems into high-speed performers.
I focus on writing highly efficient, clean, and well-documented code that minimizes resource consumption without sacrificing functionality. This dedication to efficiency is how I contribute measurable value to Softaims’ clients by reducing infrastructure costs and improving user satisfaction.
I approach every project with a critical eye for potential bottlenecks, proactively designing systems that are efficient from the ground up. I am committed to delivering software that sets the standard for speed and reliability.
Main technologies
17 years
4 Years
15 Years
11 Years
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Techlogix
• Strategically designed comprehensive Data and AI Strategy for medical domain, implementing advanced document digitization using Vision API, Gemini, GPT, and Claude models. • Led Data Team in architecting infrastructure for data pipelines enabling creation of datasets for dashboards, analytics • Implemented comprehensive Data Governance Strategy tailored to medical domain with focus on data security • Developed multi-agent systems using RAG, Graph Databases, Vector Databases. • Architected ingestion pipelines for unstructured medical data including PDF documents
• Architected and managed enterprise-level data lake platform for major telecommunications infrastructure, handling petabyte-scale data processing. • Led cost optimization initiatives for Azure Databricks and Synapse platforms, • Introduced advanced Data Architecture patterns including Data Mesh, Data Fabric, and Data Vault • Led implementation of Data Governance Policies and Data Lineage using Microsoft Purview and Databricks Unity Catalog. • Architected real-time streaming solutions for telecom data platform requirements.
• Designed comprehensive monitoring and trigger system for multiple big data pipelines across diverse technology stacks including Hadoop, Spark, Airflow, Snowflake, AWS EMR. • Architected high-performance ELT pipeline in Snowflake using JavaScript stored procedures, processing 1.4 billion records and 1TB of data with ingestion • Deployed advanced data profiling framework using Spark and Amazon Deequ for comprehensive data quality assessment. • Worked extensively with AWS services including SNS, SQS, S3, Lambda using boto3 Python library for seamless cloud integration.
• Architected comprehensive Big Data Lake solution ingesting data from 200+ different sources with annual volume of 500+ TB using advanced big data technologies. • Designed and delivered ingestion pipelines and analytical workloads in Snowflake, Databricks, Delta Lake, Airflow, NiFi, AWS, S3. • Implemented enterprise monitoring framework for ingestion and analytics using Elasticsearch, Logstash, and Kibana (ELK stack). • Deployed production-grade data profiling framework using Spark and Amazon Deequ for continuous data quality monitoring.
• Integrated Amazon and eBay APIs with advanced shopping cart applications for comprehensive e-commerce data integration. • Created sophisticated ETL Pipeline transferring Products, Invoices, and Customer data into Amazon S3 in optimized parquet format for advanced reporting and analytics. • Conceived, developed, and deployed comprehensive Big Data Analytics Engine for e-commerce applications, enabling advanced customer insights and business intelligence. • Implemented real-time data processing capabilities for e-commerce transaction analysis and customer behavior tracking.
Masters in Computer Sceinces
1998-08-10-2002-03-10