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@abhishekmore1
Data engineer specializing in AWS-driven ETL pipelines, performance optimization, and analytics automation.
I am a data engineering professional focused on building reliable, scalable ETL pipelines and cloud data solutions that drive timely business decisions. I combine Python, PySpark and SQL expertise with AWS services to deliver production-grade data workflows.
In my most recent role I engineered real-time financial data pipelines, automated reporting, and optimized Redshift schemas to substantially reduce reporting time and improve query performance. I prioritize data accuracy and operational reliability, achieving high processing accuracy and measurable performance gains.
I have practical experience implementing orchestration with Airflow, developing ingestion frameworks on S3/EMR/Redshift, and creating interactive dashboards to enable cross-functional stakeholders. I also bring certifications in cloud data engineering and Airflow fundamentals.
I seek opportunities where I can architect cloud-native data platforms, improve data governance and quality, and collaborate with analytics and finance teams to turn data into actionable insights.
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Work history, roles, and key accomplishments
PrincipalGlobal Service
Apr 2023 - Dec 2024 (1 year 8 months)
Engineered and automated real-time financial data pipelines using Python, SQL, and AWS, reducing reporting time by 40% and improving data reliability; optimized Redshift schemas and queries to boost query performance by 30%.
Phoenix Minds
May 2022 - Feb 2023 (9 months)
Developed interactive Power BI dashboards and automated reporting workflows that saved 35% of analyst time weekly; implemented ETL pipelines with Python and SQL, improving data accuracy by 25% and reducing refresh cycles from 8 to 2 hours.
Degrees, certifications, and relevant coursework
Master of Computer Application, Computer Application
Completed a Master in Computer Application at Jain University, finishing in November 2024.
Bachelor of Vocation, Software Development
Grade: 8.39 CGPA
Completed B.Voc in Software Development with a CGPA of 8.39 in July 2022.
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