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@kandelamahesh
Data Engineer with 3+ years of experience in scalable solutions.
I am a dedicated Data Engineer with over three years of experience in designing and implementing scalable data pipelines and cloud-native architectures. My proficiency in AWS, Apache Spark, and Airflow has enabled me to deliver robust data solutions that meet dynamic business needs. I have a proven track record in data warehousing and ETL pipelines, ensuring production-ready solutions on both AWS and Azure platforms.
At CitiBank, I automated data ingestion processes, saving over 8 hours weekly, and engineered high-throughput pipelines that process over 2 million records daily. My efforts in enhancing ETL processes with Apache Airflow boosted processing efficiency by 20%. I have also refined Hadoop operations, achieving a 60% reduction in reporting delays, and developed interactive Power BI dashboards that improved reporting efficiency by 30%.
Previously, at Microspark Solutions, I automated Python-based workflows, saving 35 hours monthly, and designed scalable ETL architectures that streamlined data migration to Redshift and Snowflake. My educational background includes a Master's Degree in Business Analytics from Trine University, which has equipped me with the analytical skills necessary to drive data-driven decision-making.
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Work history, roles, and key accomplishments
CitiBank
Aug 2023 - Present (2 years 3 months)
As a Data Engineer at CitiBank, I automated data ingestion processes with Python, saving over 8 hours weekly. I engineered high-throughput pipelines with Spark Streaming, processing over 2 million records daily. Enhanced ETL processes with Apache Airflow and optimized Hadoop operations, achieving significant performance improvements.
Microspark Solutions
Jul 2021 - Nov 2022 (1 year 4 months)
At Microspark Solutions, I automated Python-based workflows, saving 35 hours monthly. I processed large-scale data using Apache Spark and designed scalable ETL architectures, streamlining data migration to Redshift and Snowflake, significantly improving operational efficiency.
Cerebral Technologies
Jan 2021 - Jul 2021 (6 months)
During my internship at Cerebral Technologies, I simplified engineering workflows by automating over 25 tasks with Python, significantly reducing processing times. I enhanced SQL query structures, which improved data retrieval times and saved analysts considerable hours on reporting tasks.
Degrees, certifications, and relevant coursework
Master's Degree, Business Analytics
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