Khayal Gafarov

• • Led workstream for digital transformation across engineering & manufacturing clients — authoring functional specs and Agile user stories that kept development teams unblocked across sprint cycles.

• • Mapped 90+ applications to business capabilities in SAP LeanIX — giving client leadership the first complete view of their application portfolio; informed decisions to retire 10+ redundant tools.

• • Modelled AS-IS and TO-BE processes in BPMN/UML for BIM Readiness engagements, aligning IT solutions with production execution requirements and documenting configuration to support adoption and operational continuity.

• • Embedded in cross-functional teams (business, IT, vendor) across Switzerland, Italy and Greece to align Enterprise Architecture decisions with compliance requirements — communicating technical trade-offs clearly to both technical and executive audiences.

• • Leveraged Python and SQL for data analysis and scripting; used Jira & Confluence for requirements elicitation, backlog management, and sprint tracking.

• • Collaborated with multinational technical teams from Sweden, Germany, Poland and India during sprint cycles for technical requirements elicitation and tools development. Used MS Azure DevOps for backlog management, change tracking, and release coordination.

• • Delivered end-to-end BA for RPA / automation initiatives and API integrations (JSON/XML, REST) in financial document management — authored specs, test scripts, and executed UAT/SIT with defect rates below 5% and zero critical defects at go-live.

• • Owned Azure DevOps delivery pipeline across dev, test, and release phases — maintained a structured backlog of 60+ items with zero missed sprint commitments over 12 months. Applied Python and SQL for data validation and scripting.

• • Acted as primary liaison between non-technical finance stakeholders and offshore developers — translating business concepts into technical requirements and halving the average time from requirement to dev-ready story.

• • Engineered 10+ automated SAP Business Objects dashboards for upstream operations using SQL-based data extraction — replacing manual Excel reporting and reclaiming 2 FTE person-hours per reporting cycle.

• • Improved data pipeline accuracy for production KPIs; outputs adopted as single source of truth across 5 operational teams — demonstrating strong technical documentation and data validation in an industrial environment.