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Harini Guturi

Frontend Engineer

Dallas, TX, USA
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Greetings to all! My name is Harini, and I am an experienced Data Engineer actively seeking a Senior Data Engineer role in the current job market. With over 10 years of expertise in the field, I am eager to take on new challenges and contribute to innovative projects.

As my current project is coming to an end, I am proactively exploring new opportunities. I am particularly interested in Contract-to-Contract (C2C) or Contract-to-Hire (C2H) positions that offer both flexibility and the potential for long-term growth.

If you are currently hiring for a Senior Data Engineer and believe my skill set aligns with your client's requirements, I would greatly appreciate it if you could reach out to me with any relevant openings. I am confident in my ability to deliver exceptional results and add value to your organization.

Please feel free to connect with me through LinkedIn or email me at [guturihani@gmail.com]. I am excited to explore potential opportunities and contribute to your client firm's success.

Thank you for your time and consideration. I look forward to hearing from you soon!

Best regards,
Harini Guturi
+18063195690

Careers

Senior Data engineer

Quotient Technologies

Full time contract10/2021 -
  1. • Utilized Azure Data Lake, Azure Data Factory, and Azure SQL Database to build scalable and reliable data pipelines
  2. for data processing and analytics.
  3. • Demonstrated proficiency in SQL, leveraging strong SQL skills for data querying, transformation, and analysis.
  4. • Leveraged Spark and PySpark for processing large datasets efficiently, enhancing data processing capabilities.
  5. • Worked with different file formats such as JSON, Parquet, and CSV for data storage and integration.
  6. • Applied database expertise in SQL Server, contributing to data storage, retrieval, and management.
  7. • Extensively used Apache Kafka, Apache Spark, HDFS and Apache Impala to build near real time data pipelines that get,
  8. transform, store, and analyze click stream data to provide a better personalized user experience.
  9. • Primarily involved in Data Migration using SQL, SQL Azure, Azure Storage, Azure Data Factory, SSIS, PowerShell.
  10. • Data Ingestion to one or more Azure Services - (Azure Data Lake, Azure Devops,Azure Storage, Azure SQL, Azure
  11. DW) and processing the data in Azure Databricks.
  12. • Day-to-day responsibility includes developing ETL Pipelines in and out of data warehouse, develop major regulatory and
  13. financial reports using advanced SQL queries in Snowflake.
  14. • Implement medium to large scale BI solutions on Azure using Azure Data Platform services (Azure Data Lake, Data
  15. Factory, Data Lake Analytics, Stream Analytics, Azure SQL DW, HDInsight/Databricks, NoSQL DB)Experienced in
  16. ETL concepts, building ETL solutions and Data modeling.
  17. • PL/SQL scripts were created and optimized to perform data transformations, validation, and cleansing operations, hence
  18. boosting data quality and accuracy.
  19. • Spearheaded the analysis, design, and development of complex PL/SQL procedures, triggers, and functions, optimizing data
  20. processing workflows.
  21. • Conducted thorough performance tuning exercises on PL/SQL code, identifying and rectifying inefficiencies to enhance
  22. query response.
  23. • Used Pyspark for data frames, ETL, Data Mapping, Transformation and Loading in complex and high-volume
  24. environments. Implemented Apache Airflow for authoring, scheduling, and monitoring Data Pipelines

Education

vignan institute of information technology

information technology

06/2016 - 09/2020Bachelor's DegreeClass of 2020
Skills
PythonMicrosoft AzureAWSWorking with dataNoSQL, HadoopPysparkJenkinsGithubJavaDatabase systems
Experience8+ years
Hourly rate$70/hr
Open to
remotehybrid

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