Muhammad TayyabData / BI
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◇ Data Quality  ·  Business Intelligence  ·  Analytics Engineering Open to roles

Data Systems
Built to Be Trusted.

Sales Data Quality Analyst II at Motive, engineering the account matching, dedupe and reporting behind GTM data.

Dashboards leadership quotes in weekly reviews, pipelines that run themselves, and CRM data you can actually forecast on.

PL-300 & DP-600 Certified AWS Certified LinkedIn GitHub Upwork YouTube
Muhammad Tayyab
5.2MRecords classified
109K+Accounts merged
94K+Contacts migrated
100+Students taught
Trusted across teams
MotiveGTM data quality
DecklarationBI reporting
IMG AdvisorsPower BI
Emerging CareersInstruction
Pledges ImpactEdTech ETL
UpworkFreelance clients
◇ Selected systems / 2022–now

From messy records
to decisions leaders trust.

Three production stories from Motive’s GTM data: matching at scale, the pipeline underneath it, and the reporting on top.

ACCOUNT DEDUPE FRAMEWORK CLASSIFY PRIMARY, DUPLICATE AND CHILD ACCOUNTS ACROSS MILLIONS OF CRM RECORDS. 5.2MRECORDS 109KMERGED 4MATCH KEYS 4MARKETS Match review 3 DUPLICATES ACCOUNT NAMEWEBSITEGEO Acme Logistics LLC acmelogistics.comUS ACME LOGISTICS www.acmelogistics.comUSA Acme Logistics, L.L.C. acmelogistics.com/United States Acme Logistics LLC MASTER RECORD AFTER MERGE 1OWNER 94K+CONTACTS MOVED MINREVIEW CYCLE DEMANDTOOLS · SNOWFLAKE · PYTHON · SALESFORCE 01
Motive  ·  Production

Account Dedupe Framework

Problem

Deduplication ran tool by tool, so two reps could work the same fleet across the US, Canada, UK and Mexico, and merge decisions changed depending on who ran them.

System

DemandTools · Snowflake · Python · Salesforce. An end-to-end framework classifying primary, duplicate and child accounts, with owned merge cycles and disqualified reviews.

Records5.2M
Review cycleHours → minutes
DetectionDays, not months
TRUSTED DOMAIN PIPELINE MATCHING LOGIC MOVED OUT OF AD-HOC QUERIES INTO A TESTED, SCHEDULED, REVIEWABLE PIPELINE. dbtMODELS DAGAIRFLOW 100%IN GITHUB TEAMWIDE REUSE domain_model · DAG SUCCESS RAW dbt staging+ TESTS trusted_domainsUSED FOR MATCHING pythonNORMALIZE RUN HISTORY build trusted_domainsPASSED test not_null, uniquePASSED publish match tablePASSED EVERY CHANGE REVIEWED, VERSIONED AND ROLLBACK-SAFE DBT · AIRFLOW · GITHUB · SQL · PYTHON 02
Motive  ·  Analytics engineering

Trusted Domain Pipeline

Problem

Matching logic lived in one-off queries with no tests or history. Changes were risky, handoffs messy, and the knowledge sat with individuals.

System

dbt · Airflow · GitHub · SQL · Python. A dbt model for trusted account email domains, run by a production Airflow job, with all logic version controlled.

OrchestrationProduction DAG
Version control100% in GitHub
EffectSafer rollbacks
EXECUTIVE DATA HEALTH DASHBOARDS DUPLICATE TRENDS, TAM AND PIPELINE VIEWS SALES LEADERSHIP QUOTES IN WEEKLY REVIEWS. WEEKLYREVIEW TAM+ PIPELINE 990TICKETS 27MATCH REQUESTS Data health · this quarter DUPLICATE RATE OPEN MERGES HIERARCHY FIXED 34K+ DUPLICATES CREATED PER WEEK PREVENTION AT SOURCE ROLLING OUT DupeBlocker scenarios live NAME · WEBSITE · STREET · PHONE TABLEAU · SNOWFLAKE · KPI DESIGN 03
Motive  ·  Business intelligence

Executive Data Health Dashboards

Problem

Sales leadership needed a view of data health and duplicate trends, plus a TAM and pipeline picture they could stand behind in front of the business.

System

Tableau · Snowflake · KPI design. Executive dashboards I own, built on the same classified data the dedupe framework produces.

CadenceWeekly reviews
Tickets resolved~990
Major requests27
◇ Project archive

More systems shipped at Motive, plus independent analytics projects with public write-ups.

04Account Hierarchy RepairMotive34K+ parent IDs / 3.2K recursive chains
05DupeBlocker Prevention ScenariosMotiveName / website / street / phone
06Glean AI Matching AgentMotiveGenerative AI / AI-assisted SQL
07RFM Customer SegmentationIndependent1M rows / segmentation 0815 Power BI ReportsIndependentPower BI / advanced DAX 09Customer Lifetime ValueWritten analysisCLV / business metrics 10Exploratory Data Analysis in RIndependentR / statistics
◇ Expertise / operating model

Depth across the
whole data stack.

From the raw CRM table to the dashboard in Monday’s leadership review, and the automation that keeps it honest in between.

CleanModelReportPrevent
01

Data Quality & Governance

Deduplication and matching rules, account hierarchies, parent and location rollups, prevention at the source, and the SOPs that keep it clean after the cleanup.

SalesforceDemandToolsDupeBlockerGovernance
02

BI & Dashboards

Power BI and Tableau reporting built from the source data up: KPI design, DAX measures, data modeling and dashboards people actually open on a Monday morning.

Power BIDAXTableauFabric
03

Analytics Engineering

Version-controlled pipelines with dbt, Airflow and Python on Snowflake, so transformations are tested, scheduled, reviewable and reusable across a team.

dbtAirflowSnowflakeSQL
04

AI & Automation

n8n workflows, AI agents and AI-assisted SQL that take normalization, matching and repetitive reporting off analysts’ plates, with people kept on the judgment calls.

n8nGoogle AI StudioApps ScriptGlean
05

Teaching & Enablement

Curriculum design and hands-on training for 100+ students, plus webinars and tutorials that turn tool knowledge into work people can show in a portfolio.

ExcelSQLPower BIPython

Data & BI

  • Power BI (DAX, Power Query)
  • Tableau
  • Microsoft Fabric
  • SQL & data modeling
  • Python & R
  • dbt / Airflow / ETL
  • Snowflake
  • KPI design & storytelling

Quality, automation & cloud

  • Salesforce data quality
  • DemandTools & DupeBlocker
  • Deduplication & matching
  • n8n agents
  • Google AI Studio
  • Google Apps Script
  • AI-assisted SQL & prompting
  • AWS & Google Cloud
Tools in production
Power BI Tableau SQL Python dbt Airflow Snowflake Salesforce DemandTools n8n Apps Script GitHub AWS Excel
◇ Experience / 2021–now

Four years of making data behave.

BI reporting, GTM data quality and analytics delivery, with teaching running alongside it the whole way.

Jun 2025 — now
Motive

Motive

Sales Data Quality Analyst II Oct 2025 — now
Promoted in 4 months
  • Moved from running the dedupe process to engineering it, pushing toward automation, AI and prevention at the source.
  • Re-architected it into a monitored, version-controlled pipeline: dbt model for trusted account email domains, all SQL and Python in GitHub, production Airflow job.
  • Built a Glean agent that normalizes and matches account lists on its own, plus AI-assisted SQL for tricky data questions.
  • Fixed hierarchies, parent and location rollups and recursive duplicate chains so territory and segment reporting reflects reality.
  • Wrote the SOPs, mentor teammates on matching and dedupe, and interview candidates as the team grows.
Sales Data Quality Analyst Jun — Oct 2025
  • Rebuilt fragmented Salesforce deduplication into a governed process the GTM org could trust.
  • Engineered a DemandTools, Snowflake and Python framework classifying primary, duplicate and child accounts across millions of records.
  • Cut ownership conflicts across the US, Canada, UK and Mexico, catching new duplicates within days instead of months.
  • Owned the Tableau dashboards behind duplicate trends and turned around match requests before lists were imported.
Mar 2024 — now
Part time

Institute of Emerging Careers

Data Analytics Instructor Apr 2025 — now
  • Designed a curriculum covering Excel, SQL, Power BI and Python with real business applications.
  • Led portfolio-driven learning through mini projects students can show in interviews.
Academic Facilitator, AI/ML Mar 2024 — Apr 2025
  • Guided students through AI and ML fundamentals and mentored analytics learners on skill development.
Jul 2023 — Dec 2024
Remote

IMG Advisors LLC

Power BI Developer
  • Built ETL and reporting for a global EdTech client, and automated Pakistan trade analytics with Python.
  • Added time-based metrics to Salesforce lead tracking, delivered pharmaceutical customer segmentation and multilingual survey scoring.
  • Ran Power BI webinars and Google Analytics deep-dives for client teams.
May 2022 — Jun 2025
Lahore

Decklaration

Data Analyst
  • Built executive dashboards for leads and revenue that gave sales leadership clear action items.
  • Streamlined employee reporting with Power BI, making data 20x more efficient to process.
  • Integrated QuickBooks and banking data for real-time financial reporting, and automated news curation pipelines for Edge21.
2021 — 2025
Education

University of the Punjab (PUCIT)

Bachelor of Data Science 2021 — 2025
  • Data Science Apprentice at the Institute of Emerging Careers alongside the degree, Nov 2021 to Jul 2022.
◇ Contact

Got data you can’t
fully trust yet? Let’s fix it.

Hiring for a BI, analytics or data quality role, need a dashboard or CRM cleanup, or want a session for your team? Pick a time, or send me a note.

tayyab179688@gmail.com Lahore, Pakistan  ·  --:-- local  ·  open to relocation