SIBTAIN KHAN
PRODUCT · SYSTEMS · STRATEGY
I build internal products that simplify complex operations and support better decisions at scale.
POSITION SUMMARY
POSITION STATEMENT
I work across product, data, and operations, usually in environments where reporting is manual, processes are fragmented, and teams spend more time reconciling information than making decisions.
My work focuses on designing internal products, workflows, and systems that teams actually rely on. I regularly work with incomplete data, unclear requirements, and competing priorities, and turn those constraints into tools that are practical and actually used.
I'm most effective in roles where systems need to scale, decisions carry real financial or operational consequences, and execution quality directly impacts outcomes.
DECISION LOG
Automated reporting before redesigning dashboards to reduce noise at the source.
Addressing data quality upstream prevents downstream dashboard complexity and reduces maintenance burden.
Dashboard redesigns became simpler and more focused, with cleaner data requiring less filtering and transformation.
Prioritized reconciliation accuracy over speed early to build trust with finance stakeholders.
Finance teams value correctness over speed. Establishing trust through accuracy creates foundation for future automation.
Gained stakeholder buy-in for subsequent automation initiatives and reduced manual review cycles.
Avoided building a custom tool when a standardized workflow achieved the same outcome faster.
Custom tools require maintenance, training, and ongoing support. Standard workflows leverage existing team knowledge.
Delivered solution in days instead of weeks, with zero maintenance overhead and immediate team adoption.
Cut feature scope once usage data showed diminishing returns.
Continuing to build unused features wastes resources and increases system complexity without value.
Freed up development time for higher-impact work and simplified the system architecture.
Designed systems for adoption first, optimization second.
Unused optimized systems provide zero value. Systems that teams actually use can be optimized iteratively.
Higher adoption rates and faster time-to-value, with optimization opportunities identified through real usage patterns.
Standardized inputs before optimizing outputs to prevent teams from optimizing around bad data.
Optimizing processes with inconsistent inputs creates fragile systems that break when data quality varies.
More reliable outputs and reduced need for manual corrections, with optimization efforts yielding predictable improvements.
SERVICE RECORD
Epic Systems
TechMecca LLC (Lumeria)
- Built SQL-driven data pipelines and Power BI dashboards integrating data stored in AWS S3 and scheduled processing on EC2 to monitor operational metrics including velocity, margin performance, and system throughput.
- Automated SQL pipelines, reducing manual reconciliation time by 70%.
- Developed cost-consolidation and forecasting models used in leadership decision-making to identify operational efficiency opportunities.
- Designed standardized documentation and onboarding workflows for internal systems, improving cross-team consistency and auditability.
Aquila Engineering
- Automated upstream reporting in Power BI, reducing prep time 80% and errors 90%.
- Built department dashboard improving visibility and response time by 30% across three teams.
- Designed Monday.com and SharePoint workflows standardizing field ops and IT requests.
- Authored SOPs for IT and cybersecurity, aligned to access controls and SLA requirements, improving compliance by ~22%.
Texas Real Estate Commission
- Built data models and dashboards to evaluate ROI, cash flow, and risk across multi-property portfolios totaling $6.5M+ in assets.
- Designed automated workflows for lead intake, tracking, and response, improving operational efficiency and response time.
- Presented data-driven recommendations to stakeholders to support pricing, risk assessment, and investment decisions.
CASE RECORDS
Operational Reporting Automation
TechMecca (Lumeria)
- Deployed a lightweight AWS environment using EC2 and S3 to support automated reporting workflows, implementing IAM-based access controls and CloudWatch monitoring.
- Reduced reporting latency and improved auditability of internal metrics.
Real Estate ROI Dashboard
Personal Project
- Built an internal analytics tool to score investment opportunities using cash-flow modeling, downside risk, and scenario analysis.
Automated Reporting Infrastructure
Aquila Engineering
- Weekly operational reports were built manually, causing delays and frequent errors.
- Automated reporting pipelines using Power BI, Excel, SharePoint, and internal APIs.
- Reduced preparation time by 80% and improved data consistency across three teams.
CORRESPONDENCE
Houston, Texas