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CHETAN GOUDA B PATIL

Data Engineer | 4 Years | Python, Spark/PySpark, SQL | AWS (S3, Glue, Athena, Redshift) | Building Scalable ETL Pipelines | Airflow | Data Warehousing & Data Modeling | Data pipelines

India

4+ years of work experience

GLOBUS INFO SERVICES PVT LTD
Mar 20224 yrs 4 mosPresent

Bengaluru, Karnataka, India

Develop an automated data pipeline on AWS using Python and AWS services like S3, Lambda, Glue and Redshift to enabling seamless data ingestion, processing, and querying. The pipeline ingests data from various data sources, various data sources, performs transformations, and loads the processed data into Redshift data warehouse for analysis. Roles & Responsibilities 1. Design and implement the data pipeline architecture. 2. Create and optimize ETL scripts and workflows. 3. Perform data transformation and cleansing for accuracy and consistency. 4. Automate data ingestion processesforseamlessintegration. 5. Monitor, troubleshoot, and resolve pipeline issues. 6. Work closely with stakeholders to gather and refine data requirements

Education

Visvesvaraya Technological University (VTU)

Bachelor of Engineering - BE, Civil Engineering

Visvesvaraya Technological University (VTU)

20174 yrs2021

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Headline

Data Engineer | 4 Years | Python, Spark/PySpark, SQL | AWS (S3, Glue, Athena, Redshift) | Building Scalable ETL Pipelines | Airflow | Data Warehousing & Data Modeling | Data pipelines

About

I have 4 years of professional experience and expertise in designing, constructing, and maintaining scalable data pipelines. Skilled in leveraging advanced SQL, Python, and ETL tools to optimize data workflows, ensuring data integrity and accessibility. Driven by passion for problem-solving and continuous improvement. Excels in managing complex datasets and performing data analysis, crucial for success of Data Engineer.

Location

India

Work experience

Data Engineer at GLOBUS INFO SERVICES PVT LTD, Mar 2022 - Present · 4 yrs 4 mos, Bengaluru, Karnataka, India, Develop an automated data pipeline on AWS using Python and AWS services like S3, Lambda, Glue and Redshift to enabling seamless data ingestion, processing, and querying. The pipeline ingests data from various data sources, various data sources, performs transformations, and loads the processed data into Redshift data warehouse for analysis. Roles & Responsibilities 1. Design and implement the data pipeline architecture. 2. Create and optimize ETL scripts and workflows. 3. Perform data transformation and cleansing for accuracy and consistency. 4. Automate data ingestion processesforseamlessintegration. 5. Monitor, troubleshoot, and resolve pipeline issues. 6. Work closely with stakeholders to gather and refine data requirements

Education

Bachelor of Engineering - BE, Civil Engineering, Visvesvaraya Technological University (VTU)

CHETAN GOUDA B PATIL - Data Engineer in India | Tal