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Sairam Patturi

@sairampatturi

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Experienced Data Engineer with expertise in Big Data technologies.

United States

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What I'm looking for

I am looking for a role that fosters innovation and collaboration, with opportunities for growth in data architecture and engineering.

With over 10 years of IT experience in Data Engineering, I have honed my skills in Big Data technologies, particularly within the Hadoop ecosystem. My expertise spans across various industries, including banking, healthcare, and manufacturing, where I have successfully designed and implemented robust data ingestion, processing, and analytics pipelines. I am proficient in using tools such as Azure Databricks, Talend, and PySpark, which have enabled me to deliver efficient data solutions that meet complex business requirements.

Throughout my career, I have demonstrated a strong ability to translate business needs into scalable data architectures. My hands-on experience with Azure cloud services, including Azure Data Factory and Azure Data Lake Storage, has allowed me to lead data migration efforts and optimize ETL workflows. I take pride in my collaborative approach and my capacity to adapt to new technologies, ensuring that I remain at the forefront of the rapidly evolving data landscape.

Experience

Work history, roles, and key accomplishments

Current

Senior Data Engineer

Current

Strategic System Inc.

Jul 2025 - Present (2 months)

Developed robust ETL data ingestion pipelines from diverse sources into Azure Data Lake Storage (ADLS) using Azure Data Factory (ADF) and Databricks. Built scalable and reusable ETL/ELT workflows leveraging PySpark, Scala, SQL, and Talend to transform and process high-volume structured and semi-structured datasets efficiently.

Databricks Azure Data Factory Python Hive Pyspark Scala Oracle Unix Java Talend Teradata Autosys SQL Shell Scripting

Senior Data Engineer

Wells Fargo

Oct 2021 - Jun 2025 (3 years 8 months)

Designed and implemented ETL data ingestion pipelines from various sources into Azure Data Lake Storage (ADLS) using Azure Data Factory (ADF) and Databricks. Developed scalable and reusable ETL/ELT workflows using PySpark, Scala, SQL, and Talend to transform and process high-volume structured and semi-structured datasets.

Databricks Azure Data Factory Python Hive Pyspark Scala Oracle Unix Java Talend Teradata Autosys SQL Shell Scripting AWS EMR Glue Lambda S3 EC2 Redshift Spectrum Kinesis Data Lake

Data Engineer

Micron

Sep 2019 - Sep 2021 (2 years)

Built ETL data ingestion pipeline design from multiple sources using Azure Data Factory and Databricks. Led large-scale data migration and modernization projects to Snowflake and Databricks, leveraging Snowpipe, Delta Lake time travel, RBAC, and advanced data modeling techniques.

Software Engineer

CGI

Feb 2016 - Sep 2019 (3 years 7 months)

Involved in Model Requirement Analysis and Specification Documentation, and Model Designing and developing the code for Business Case. Responsible for importing data from RDBMS to Hadoop Distributed File System (HDFS) using Sqoop and later analyzed the imported data using Spark and Scala.

Hadoop Cloudera Distribution Spark Scala Hive Sqoop Unix RDBMS SQL

Education

Degrees, certifications, and relevant coursework

Unknown

Bachelor of Technology, Computer Science and Engineering

Completed a Bachelor of Technology in Computer Science and Engineering. This program provided a strong foundation in computer science principles and engineering practices.