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@ashaythakur
Dynamic Data Engineer specializing in data integration and ETL optimization.
I am a dynamic Data Engineer with over five years of experience specializing in data integration, ETL optimization, and governance frameworks. My expertise lies in delivering innovative, data-driven solutions in Agile environments, particularly within the technology sector in the UK. I leverage Python and PySpark to develop scalable data pipelines and machine learning-driven clustering solutions, enhancing data categorization and efficiency.
At Quantiphi, I spearheaded the creation of a comprehensive statistical reporting pipeline, significantly improving data accuracy and stakeholder decision-making. I have a proven track record of optimizing data pipelines and implementing serverless ETL frameworks, which have driven efficiency in data ingestion and processing. My leadership abilities have been recognized through multiple promotions, and I am committed to fostering impactful organizational transformation through data excellence.
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Work history, roles, and key accomplishments
Accenture
Jul 2019 - Dec 2022 (3 years 5 months)
Managed data integration projects using SAP BODS and DataStage within Agile frameworks. Led a team, automated ETL processes, and conducted training sessions to enhance team expertise, achieving significant efficiency improvements.
Accenture
Aug 2021 - Aug 2022 (1 year)
Contributed to a Data Governance Project ensuring GDPR compliance and developed a data quality framework. Trained engineers on ETL tools, enhancing team skills and fostering a culture of continuous learning.
Accenture
Jul 2019 - Aug 2021 (2 years 1 month)
Designed and implemented ETL workflows using BODS, migrated legacy systems to modern frameworks, and conducted peer code reviews. Recognized for contributions to key projects and streamlined data migration processes.
Quantiphi
Aug 2015 - Jul 2019 (3 years 11 months)
Spearheaded the creation of a comprehensive statistical reporting pipeline, optimizing data flows and ensuring high accuracy standards. Developed machine learning clustering pipelines and a serverless ETL framework for diverse file formats, enhancing data efficiency and stakeholder decision-making.
Degrees, certifications, and relevant coursework
Bachelor of Engineering, Electronics Engineering
2011 - 2015
Bachelor of Engineering in Electronics Engineering, focusing on the principles of electronics and communication, circuit design, and systems engineering. Developed skills in problem-solving, project management, and teamwork through various academic and extracurricular activities.
Software and tools used professionally
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