Munna Kumar

Data Quality Analyst - Allegis group - Hyderabad

(2025-05 - 2026-05)

Performed end-to-end Reltio MDM operations — data enrichment from external sources, match & merge with 80% threshold scoring — creating single golden records for customer and store master data.
Managed customer and store master data in Salesforce — ensuring 99%+ accuracy and consistency across enterprise systems.
Handled 200+ daily data requests within SLA — validating and updating store addresses, contact numbers, and store names using multi-source cross-verification.
Self-learned Power Automate and automated 2–3 repetitive manual workflows — reducing processing time from hours to minutes.
Designed and published Power BI Service dashboards using semantic data models, tracking data quality KPIs including intake volume, completion rate, duplicate rate, error trends, and aging analysis.
Improved overall data quality by 45–48% through SQL systematic validation, standardization, and enrichment of critical master records.
Used Collibra data governance platform — covering metadata harvesting, business glossary, data quality rules, data classification, and data lineage
Collaborated with logistics and business stakeholders to resolve data quality issues and support operational reporting.

Senior Associate - Genpact India - Hyderabad

(2024-01 - 2025-03)

Managed end-to-end supply chain master data across Asian countries — processing 20,000–30,000 monthly records across customer, product, asset, and operational datasets.
Wrote and executed advanced SQL queries including window functions, aggregate functions, and multi-table joins — to extract, validate, and reconcile data across SQL Server and Oracle databases for cross-system master data verification.
Performed cross-system data reconciliation across 3–4 CRM platforms validating GTIN numbers, part numbers, and serial numbers to ensure 99% data accuracy across full manufacturing to maintenance lifecycle.
Managed parent-child asset hierarchies in medical device part numbers as parent records, component serial numbers as child records ensuring correct mapping for complete asset lifecycle tracking.
Processed enterprise data creation requests within 24–48 hour SLA locating and validating records across 5 source systems via GTIN and part numbers and creating master records in globally standardized format in Reltio.
Built 3 Power BI dashboards and operational trackers monitoring backlog, request volumes, aging analysis, data quality trends, and KPI performance across enterprise supply chain teams.
Enforced enterprise data governance policies — ensuring master data accuracy, standardization, and compliance across supply chain and medical device datasets with zero unauthorized updates.

MIS Executive Analytics - Allied Digital - Hyderabad

(2022-04 - 2023-09)

Extracted and analyzed IT operations data from ticketing tools to generate daily, weekly, and monthly reports for operational performance tracking and service management reporting.
Built and maintained Power BI dashboards and KPI reports to monitor SLA compliance, ticket volumes, backlog trends, resolution timelines, and operational performance, improving issue resolution efficiency by 15%.
Maintained 99%+ accuracy in ITSM reporting by performing data validation, reconciliation, and deduplication across incident and service request.

Doc Auditor - NSB BPO - Noida

(2020-10 - 2022-01)

Performed real-time data validation and verification of 300+ daily customer records within strict SLA matching and cross-verifying identity data across multiple data points to ensure compliance before approval.
Identified and resolved data discrepancies to improve overall data quality and reduce approval errors.
Followed defined data standards and validation processes — completing each case within 5 minute SLA to maintain reliable, accurate, and compliant customer records.

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