Turning complex data issues into structured, actionable insight.
Data Quality professional with 3+ years' experience in enterprise DQ governance and Master Data Management at ALDI DX. Specialized in SQL-based data profiling, DQ rule design and executive reporting for SAP S/4HANA master data — defining and implementing rules in coordination with domain owners who specify field-level business requirements.
Thrives collaborating across technical and business teams, turning complex data issues into structured and actionable insights. Driven by clarity and teamwork — believes good data governance is built on trust and transparent communication with stakeholders.
SQLAdvanced querying
TableauExec dashboards
CollibraDG governance
SynitiDQ reports
DatabricksValidation pipelines
SAP MDGMaster data
// 03 — Trajectory
Work Experience
Enterprise data quality across ALDI group.
Master Data Quality Steward
Jan 2024 — Present
ALDI DX · Mülheim an der Ruhr (Hybrid)
Own end-to-end DQ workflow for Supplier, Real Estate, and Asset Accounting domains for SAP S/4HANA master data — define DQ rules with domain owners, build SQL against IDL tables, produce Syniti reports.
Aggregate defects into Tableau KPI dashboards for Top Management across countries — data health, correction compliance, week-over-week anomalies.
Root cause analysis on anomalies; resolve production DQ incidents across SAP source, report logic and business process.
Coordinate cross-country testing/rollout; business-technical bridge across governance, domains, countries, implementation.
Maintain audit-ready DQ documentation in Collibra; contribute to international DQ forums.
CollibraSynitiSQL ServerTableau
Data Quality Analyst (Working Student)
Jul 2022 — Nov 2023
ALDI SÜD · Mülheim an der Ruhr (Hybrid)
Structured DQ testing for Customer & Order data in Marketing — 5 quality dimensions: accuracy, completeness, consistency, validity, timeliness.
Automated validation pipelines in Databricks (Spryker, Tealium) for behaviour analysis & segmentation; proactive incident escalation.
Documented test procedures in JIRA (Xray) & Confluence — full traceability & audit readiness.
Collaborated on root-cause analysis of inconsistencies; corrective measures improved reliability.
DatabricksTableauAzureTealiumAdobe DW
// 04 — Competency Matrix
Core Competencies
Click a domain to inspect the skill stack.
SQL (Advanced)95%
SQL Scripting90%
Python78%
Tableau92%
Power BI80%
Databricks85%
Excel / KPI Reporting88%
Collibra / MDM93%
Data Profiling90%
Root Cause Analysis89%
Data Lineage84%
SQL Server (SSMS)94%
SAP S/4HANA87%
SAP MDG82%
Azure / Syniti83%
Agile / Kanban86%
JIRA / Confluence / Xray88%
Stakeholder Mgmt91%
// 05 — Data Quality Dimensions
DQ Health Monitor
The five quality dimensions I validate against, scored from production practice.
ACCURACY
COMPLETENESS
CONSISTENCY
VALIDITY
TIMELINESS
// 06 — Education
Academic Background
Analytics & information technology foundations.
MSc — Data Analytics
Berlin School of Business & Innovation
2022 – 2024 · Berlin, Germany
Focus: Data Analytics, Business Intelligence
BTech — Information Technology
Charotar University of Science & Technology
2018 – 2022 · India
Focus: Software Engineering, Database Systems
// 07 — Communication
Language
Multilingual stakeholder collaboration.
EnglishFluent
GermanIntermediate
GujaratiNative
HindiNative
// 08 — Certifications
Training & Credentials
Continuous professional development.
Prompt Engineering with the OpenAI API
DataCamp · Jun 2026
Working with the OpenAI API
DataCamp · Jun 2026
Kanban for Agile Teams
Agile Academy · Jul 2025
Data Analytics Professional Development
YouTube · Jul 2024
// 09 — Connect
Let's improve your data quality.
Open to Data Quality / BI / Analytics roles across Berlin (On-site / Hybrid / Remote), Germany / EU (Remote).