Amarinder Singh

• Over 8 years of experience in designing, developing, and maintaining BI and data warehouse solutions across the startup and private sectors.
• Proven ability to translate complex business requirements into actionable data insights and technical solutions.
• Strong expertise in Power BI for building interactive dashboards, data models, and advanced DAX measures.
• Extensive hands-on experience with ETL tools, including SSIS, Informatica, and Azure Data Factory (ADF).
• Skilled in data integration from diverse sources such as Oracle, SQL Server, SAP HANA, Salesforce, flat files, and REST APIs.

• Over 8 years of experience in designing, developing, and maintaining BI and data warehouse solutions across the startup and private sectors.
• Proven ability to translate complex business requirements into actionable data insights and technical solutions.
• Strong expertise in Power BI for building interactive dashboards, data models, and advanced DAX measures.
• Extensive hands-on experience with ETL tools, including SSIS, Informatica, and Azure Data Factory (ADF).
• Skilled in data integration from diverse sources such as Oracle, SQL Server, SAP HANA, Salesforce, flat files, and REST APIs.
• Deep understanding of data warehousing concepts, including star/snowflake schemas and slowly changing dimensions (SCD Types 1 & 2).
• Experience in reverse engineering legacy systems and migrating to modern cloud-based architectures (Azure).
• Proficient in SQL development, including stored procedures, views, triggers, and performance tuning.
• Strong background in data quality analysis, cleansing, validation, and exception handling in ETL pipelines.
• Developed and maintained SSRS and Power BI reports using OLAP and relational data sources.
• Led the design and implementation of scalable BI frameworks and reporting solutions for enterprise environments.
• Collaborated with cross-functional teams, including business analysts, QA, and stakeholders, in Agile/Scrum environments.
• Working towards Certifications in Azure Data Engineer Associate, Azure Enterprise Data Analyst Associate, and Azure Data Fundamentals.
• Excellent communication and stakeholder engagement skills, with a track record of mentoring junior analysts and developers.

Education

M.Sc., Computer Science — University of Windsor, Windsor, Canada |

B.Tech., Computer Science — RIMT–IET, Punjab, India |

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Certifications

• Google Data Analytics Professional Certificate — Completed Jan 2025
• Google Advanced Data Analytics Professional Certificate — Completed Mar 2025
• Microsoft Certified: Azure Fundamentals (AZ‑900) — Candidate, 2025; DP‑900/PL‑300 —In Progress