Ariz Ansari
Data Analyst Data Engineer @Colaberry
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WORK HISTORY
Data Analyst Data Engineer @Colaberry
AZ, US
Developed and optimised SQL Server Stored Procedures, Views, and UDFs, improving query performance and application response time by 30%->Designed and deployed ETL and reporting pipelines using SSIS, SSRS, and Python, reducing manual reporting effort by 40%->Built automated data pipelines using Pipeline Pilot and Domino, accelerating dashboard delivery by 35%->Designed scalable ETL workflows using SSIS, processing large datasets from multiple sources while improving data accuracy by 25%->Implemented automated data ingestion pipelines into Google BigQuery, optimising schema design and reducing data duplication by 30%->Created Power BI dashboards and DAX calculations, enhancing analytical insight and improving dashboard performance by 20%->Integrated external data sources via REST APIs and Python, increasing data availability from remote devices by 40%->Optimised complex SQL queries using joins and sub-queries, reducing execution time by 35%->Collaborated with Business Analysts and stakeholders to translate reporting requirements into data solutions, improving delivery accuracy by 30%->Worked in an Agile environment, contributing to on-time delivery with a 15% reduction in rework.
EDUCATION
Bharati Vidyapeeth
Bachelor's degree, Computer Engineering
Bharati Vidyapeeth
Diploma, Network Security
Northern Illinois University
Master's degree, Computer Science
ABOUT ARIZ ANSARI
Data Analyst / Data Engineer with 6+ years of experience delivering analytics, reporting, and data engineering solutions across cloud and enterprise environments.Strong background in Python and SQL, with hands-on experience building data pipelines, transforming large datasets, and creating business-ready dashboards using Power BI, Tableau, and Spotfire.Experienced across Azure (ADF, ADLS) and AWS (S3), working with databases including MySQL, MS SQL Server, Teradata, BigQuery, and Azure Data Studio. Comfortable collaborating with stakeholders, translating business requirements into technical solutions, and supporting data-driven decision-making.Currently based in the UK with full right to work (no sponsorship required). Open to Data Analyst and Data Engineer roles across analytics, cloud, and data platforms.
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