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Schedule Interview NowMy name is Farman A. and I have over 1 years of experience in the tech industry. I specialize in the following technologies: Data Analysis, ETL Pipeline, ETL, Data Extraction, Data Integration, etc.. I hold a degree in Bachelor of Science (BS). Some of the notable projects I’ve worked on include: Modernizing Mars' Data Ecosystem: Governance and Analytics at Scale, Coco Cola Data Transformation, Amazon: Optimizing Workflow for Scalable Insights, Designed a Scalable data Solution for SpringCo, Case Study: LGIM (Legal & General Investment Management), etc.. I am based in Porto, Portugal. I've successfully completed 8 projects while developing at Softaims.
I approach every technical challenge with a mindset geared toward engineering excellence and robust solution architecture. I thrive on translating complex business requirements into elegant, efficient, and maintainable outputs. My expertise lies in diagnosing and optimizing system performance, ensuring that the deliverables are fast, reliable, and future-proof.
The core of my work involves adopting best practices and a disciplined methodology, focusing on meticulous planning and thorough verification. I believe that sustainable solution development requires discipline and a deep commitment to quality from inception to deployment. At Softaims, I leverage these skills daily to build resilient systems that stand the test of time.
I am dedicated to making a tangible difference in client success. I prioritize clear communication and transparency throughout the development lifecycle to ensure every deliverable exceeds expectations.
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Led Mars' data modernization by optimizing Databricks, implementing Unity Catalog for governance, and automating workflows with Apache Airflow. Migrated legacy systems to Delta Lake, improving scalability and reliability. Developed ARIMA & Prophet models for demand forecasting, reducing errors and enhancing decision-making by 60%. Built a Power BI dashboard for real-time insights. Optimized processing time by 80% and cut costs by 25%, ensuring compliance, scalability, and future-ready analytics.
Optimized Coca-Cola’s Databricks infrastructure by fine-tuning Apache Spark, implementing adaptive query execution, and optimizing caching. Reduced query execution time from hours to minutes, improving scalability and reporting accuracy. Designed a Data Strategy, Governance, and Reporting Architecture (DSRA) pipeline, enhancing data ingestion and transformation. Achieved a 40% efficiency boost, 30% more accurate reporting, and 25% cloud cost savings, enabling faster decision-making and seamless scalability.
Led the optimization of Amazon’s data workflows by automating data ingestion, transformation, and orchestration using Apache Airflow and AWS Glue. Designed custom DAGs to streamline scheduling, error handling, and real-time alerting, reducing manual intervention by 30%. Implemented scalable ETL pipelines for efficient data cleaning and structuring, improving data turnaround time by 40% and enabling faster decision-making. Integrated optimized pipelines with Amazon’s BI tools, boosting workflow efficiency by 50% and ensuring real-time data availability.
Designed and implemented a scalable data platform for SpringCo, integrating real-time IoT, sensor, and API data to empower urban planners with actionable insights. Leveraged AWS Batch for large-scale data processing and AWS Lambda for automation, reducing manual intervention by 90% and increasing data processing speed by 50%. Developed a query-optimized storage architecture to ensure seamless access to real-time and historical urban data, achieving 99.9% uptime and enabling instant decision-making for over 100 city planners.
Led the transformation of LGIM’s fragmented data ecosystem by implementing a scalable Medallion Architecture with Apache NiFi. Designed and automated structured data workflows, ensuring seamless ingestion, transformation, and governance. Achieved 100% data lineage tracking, 90% faster data accessibility, and 85% reduction in data processing time. Developed a robust, scalable data infrastructure supporting real-time insights and advanced analytics for business users.
Bachelor of Science (BS) in Software Engineering
2012-01-01-2017-01-01