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Saad Muzammil

@saadmuzammil

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I build production BI dashboards and ETL pipelines for operations intelligence.

Pakistan

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What I'm looking for

I’m looking for a role where I can own end-to-end BI and analytics pipelines—building reliable ETL, high-quality dashboards, and clear executive reporting in production environments with strong stakeholder collaboration.

I’m a BI developer and data analytics professional with 5+ years designing, building, and operating end-to-end data pipelines, ETL workflows, and stakeholder-facing dashboards in fast-paced production environments.

At Motive, I owned the full analytics stack for incident and operations intelligence—ingesting raw observability data from multiple sources, transforming and enriching it through automated pipelines, and delivering executive-ready performance reports and scorecards for North American operations.

I focus on data quality and clarity: I built and optimized SQL/KQL extraction and anomaly detection, implemented structured QA and integrity checks to reduce false positives, and led migrations like OpsGenie-to-Rootly (saving $40k annually) with automated validation to prevent reporting disruption. I also mentor analysts, build SOPs, and translate complex data into business narratives that non-technical stakeholders can act on.

Experience

Work history, roles, and key accomplishments

BI & Analytics Engineer

Motive

Mar 2022 - Jan 2026 (3 years 10 months)

Designed and maintained operational BI dashboards and KPI scorecards in Datadog and Splunk for North American operations leadership. Built end-to-end ETL pipelines ingesting and enriching data from Datadog, Splunk, OpsGenie, and Rootly, and delivered executive performance reports, RCAs, and incident trend analysis.

Power BI Style Dashboard Design Datadog Splunk SQL Kusto Query Language ETL Data Modeling KPIs Data Quality Assurance Webhooks Anomaly Detection Root Cause Analysis OpsGenie Rootly Knowledge Base Training

Data Analyst & BI Developer

Motive

Oct 2021 - Mar 2022 (5 months)

Built statistical anomaly-detection pipelines for fraud detection on Fuel Card transaction data using Python and SQL, combining rule-based filtering with ML-scored outlier detection. Designed operational BI dashboards and automated Python-based ingestion and transformation workflows over MySQL for audit-ready outputs.

Python SQL Anomaly Detection Rule Based Filtering ML Scores BI dashboards Data Ingestion data transformation MySQL

Data Analyst, Technical Operations

Vortex Solutions Inc

Jan 2021 - Oct 2021 (9 months)

Performed structured root cause analysis on complex technical incidents and built a knowledge base from resolved cases. Managed SLA tracking workflows and shift-handover documentation to maintain data integrity and reporting continuity in a 24/7 operations environment.

Root Cause Analysis Knowledge Base Management SLA Incident Reports Data Integrity Operational Continuity

Senior Data Analyst & BI Lead

Cappersoft

Jan 2020 - Jan 2021 (1 year)

Led end-to-end data projects from requirements gathering through delivery, including anomaly-detection and statistical signal pipelines over MySQL datasets to surface risk and performance insights for stakeholders. Mentored 6 junior analysts on SQL query design, data modeling, and reporting standards to improve consistency in dashboard outputs and methodology.

Requirements Gathering SQL Design Data Modeling Reporting Standards Anomaly Detection Statistical Signal Pipelines MySQL Mentor PE Stakeholder Reporting Dashboard Output Consistency

Education

Degrees, certifications, and relevant coursework

Lahore University of Management Sciences (LUMS)

Master of Science (MSc) in Artificial Intelligence, Artificial Intelligence

2024 - 2026

MSc in Artificial Intelligence with coursework in ML pipelines, anomaly detection, optimisation, data systems, and agent systems; thesis focuses on constraint-aware neural inference for production ML reliability.