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@gayathrig1
Data Engineer specialized in Azure and AWS, building scalable ETL pipelines and big data solutions.
I am a results-driven Data Engineer with five years of experience designing, developing, and implementing scalable data solutions for enterprise applications. I specialize in big data technologies including Spark, Hadoop, Azure Data Factory, Databricks, and AWS EMR, delivering robust ETL pipelines and optimized analytical models.
My hands-on work includes building PySpark applications, managing data lakes and Delta Lake architectures, and integrating data across Azure and AWS services (S3, EMR, ADF, Databricks, Azure SQL). I have improved job performance through Spark and Hive tuning, automated workflows with Step Functions, and implemented document processing pipelines that reduced manual entry.
I am organized, self-motivated, and collaborate closely with cross-functional teams to resolve data issues and deploy solutions across DEV, QA, and PROD. I focus on reliability, performance optimization, and secure credential management to support scalable, production-grade data platforms.
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Work history, roles, and key accomplishments
Symplocos Solutions Limited
Jul 2023 - Present (2 years 4 months)
Designed and implemented scalable ETL pipelines using ADF and Databricks to load and process data into Azure Data Lake and Azure SQL; deployed across DEV/QA/PROD and reduced manual processing via OCR/Textract integrations into Snowflake.
Degrees, certifications, and relevant coursework
Bachelor of Technology, Engineering
Grade: 73%
Graduated with a Bachelor of Technology with a 73% aggregate in 2019.
Software and tools used professionally
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