Samiul H Fahim

Senior Data Engineer

WSD • Full time

Dec 2024 - Present • 1 yr 11 mos

• Own end-to-end cloud data platform. Sole Data Engineer behind the company’s entire data-mesh architecture on AWS, covering raw API ingestion through Lambda / Glue / Athena pipelines, warehouse modeling, Power BI serving, monitoring and CI/CD. Replaced ad-hoc reporting with org-wide self-service analytics for the first time. • Terabyte-scale ingestion & CDC-style incremental processing. Architected a 16-domain data mesh integrating 10+ heterogeneous source systems (Jira, TMetric, BambooHR, SonarQube, SEC EDGAR, PRIIPHub, SPI Exports, internal platform APIs), with Python / Lambda pipelines implementing high-watermark tracking, deduplication, and SCD Type 2 history with noise-absorbing consolidation and gap-fill logic. • Data-warehouse schema design. Modeled clean, performant dimensional tables (fact / dim, SCD Type 2 histories, bridge tables for multi-tag hour allocation) that BI, finance, and delivery teams build on with confidence. • BI dashboard development & delivery. Designed and built 13 Power BI dashboards with advanced DAX (REMOVEFILTERS, TREATAS, DATEVALUE with null guards, virtual relationships), Row-Level Security for restricted vs. public views, and Power Query M transformations. Dashboards cover workforce capacity, delivery cycle times, estimation accuracy, and team performance, and are used daily by EXCO members, POs, BAs, and delivery leads.

Data Engineer & BI Developer

Ghorer Bazar • Full time

Jun 2024 - Dec 2024 • 6 mos

• Streaming & distributed pipelines. Designed and implemented scalable data pipelines leveraging Apache Spark, Hadoop, and Apache Kafka for distributed batch and stream processing of high-volume e-commerce transaction data. • Multi-cloud data platform. Built and managed data architectures across AWS, Azure, and GCP for storage, compute, and integration; standardized ingestion of structured and unstructured (JSON) sources via Python / SQL ETL. • ETL performance & cost tuning. Developed and optimized ETL workflows in SQL, Python, SSIS, and Scala; measurably improved throughput and reduced compute cost through partitioning, indexing, and query optimization on high-volume tables. • Data quality & governance. Enforced validation, integrity, and security through robust ETL frameworks and Git version control; collaborated with data scientists and analysts to deliver reliable data solutions for revenue and operations reporting.

AI Automation Specialist

Rokomari • Full time

Dec 2023 - Jun 2024 • 6 mos

• Led BI team restructuring. Restructured the Business Intelligence team, set new dashboard-quality standards, and mentored analysts, measurably improving data visualization consistency across departments. • AI & RPA integration. Analyzed business processes to identify efficiency gaps and integrated AI tooling with Robotic Process Automation (UiPath) to close them, automating manual data workflows and cutting operational effort on repetitive reporting. • End-to-end BI delivery. Owned the full lifecycle of data pipeline and Power BI dashboard development for multiple departments, from stakeholder discovery through modeling to deployment. Migrated Power BI reporting onto Microsoft Fabric for a unified analytics stack. • Cost-conscious BI. Built alternate versions of live dashboards using Python (Django) and mainstream BI tools, deliberately balancing functionality against cost and delivering equivalent insight at materially lower licensing spend.