About
Data Analyst with 3 years of experience specializing in Power BI, Splunk, SQL, and cloud-based data solutions. Proven expertise in developing interactive dashboards, implementing real-time monitoring systems, performing data validation, and delivering business insights that drive operational excellence. Experienced in working with large-scale datasets, API integrations, data pipelines, and GCP services including BigQuery, Dataflow, Cloud Functions, and Cloud Storage. Strong analytical and problem-solving skills with hands-on experience in data modeling, reporting automation, data quality assurance, and stakeholder engagement. Dedicated to delivering scalable, reliable, and efficient data solutions through modern data engineering and analytics technologies, enabling business growth and data-driven decision-making.
Skills & Expertise (20)
Work Experience
Data Analyst
Capgemini Sweden
Sep 2022 - Mar 2026
Contributed as a Data Analyst to the Store Order Flow solution for IKEA, supporting end-to-end order journey optimization through dashboard development and thorough functional testing to ensure data accuracy, system reliability, and quality delivery. Developed data-driven monitoring solutions, operational dashboards, and analytics that provided real-time visibility into order processing performance, system health, and business-critical KPIs using Splunk and Power BI. Designed and developed interactive Power BI dashboards and reports to complement real-time monitoring, enabling business stakeholders to analyze order flow performance, trends, and KPIs through intuitive visualizations. Leveraged Power BI data modeling, DAX calculations, and Power Query transformations to create scalable semantic models and deliver actionable business insights. Designed and developed Splunk dashboards for real-time monitoring of the Store Order Flow using advanced data modeling techniques and Splunk Knowledge Objects, including lookups, event types, and field extractions. Built schema-on-read data models to transform complex log data into actionable insights, enabling stakeholders to track order creation, processing efficiency, system performance, and operational bottlenecks. Developed data-driven alerts and monitoring solutions using Splunk Processing Language (SPL) to identify anomalies, monitor critical events, and support proactive incident management. Performed log analysis, trend analysis, and root cause investigations to improve operational stability and support data-driven decision-making. Collaborated with business and technical stakeholders to gather requirements, define KPIs, validate data accuracy, and deliver meaningful reporting solutions. Conducted data quality checks and validation activities to ensure the reliability and integrity of monitoring data and dashboard metrics across both Splunk and Power BI platforms. Additionally, developed Python-based automation for log ingestion into Splunk, enabling continuous tracking of application and infrastructure events. Implemented intelligent monitoring and alerting mechanisms that supported 24/7 operational visibility, reduced incident response times, and enhanced overall system reliability.
Education
Master of Computer Applications - SASTRA University
- ยท Afghanistan
Bachelor of Computer Applications - Bharathidasan University
- ยท Afghanistan
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Citizen
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Skills (20)
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