Snehitha Gopidi
@snehithagopidi
Data Engineer with 3+ years of experience in scalable solutions.
What I'm looking for
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 allows me to deliver data-driven 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 cloud platforms.
At CitiBank, I automated data ingestion processes, saving over eight hours weekly, and engineered high-throughput pipelines that process over two million records daily. My role involved enhancing ETL processes with Apache Airflow, boosting processing efficiency by 20%, and optimizing Hadoop operations to achieve a 60% reduction in reporting delays. I am passionate about leveraging my skills in Python, SQL, and cloud technologies to drive impactful analytics and business intelligence.
Experience
Work history, roles, and key accomplishments
Data Engineer
CitiBank
Mar 2023 - Present (2 years 2 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. My role involved enhancing ETL processes with Apache Airflow, optimizing Hadoop operations, and developing interactive Power BI dashboards.
Data Engineer
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 for data migration to Redshift and Snowflake. My contributions included enhancing SQL query structures and simplifying engineering workflows.
Education
Degrees, certifications, and relevant coursework
Trine University
Master's degree, Business Analytics
Availability
Location
Authorized to work in
Job categories
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