Subramaniam Sethurathinam

Data Engineer

Tamil Nadu, India8 yrs 11 mos experience
Most Likely To SwitchHighly Stable

Key Highlights

  • Expert in building scalable data architectures.
  • Proficient in advanced analytics and ETL processes.
  • Strong experience with AWS and big data technologies.
Stackforce AI infers this person is a Big Data Engineer specializing in AWS solutions and data architecture.

Contact

LinkedIn

Skills

Core Skills

Data EngineeringBig Data Engineering

Other Skills

Apache AirflowDatabricksExtractTransformLoad (ETL)AWS Elastic BeanstalkAWS EC2AWS S3Apache SparkAWS EMRPythonAWS IAMApache NiFiApache HiveTrino

About

Data Engineer with a knack for turning complex datasets into valuable assets. Experienced in crafting robust data architectures, streamlining data workflows, and implementing advanced analytics solutions. Committed to leveraging data-driven strategies to solve real-world problems and enhance organizational efficiency.

Experience

8 yrs 11 mos
Total Experience
2 yrs 2 mos
Average Tenure
3 yrs 11 mos
Current Experience

Meesho

2 roles

SDE - 3

Promoted

Jul 2024 – Present · 1 yr 10 mos · Bengaluru, Karnataka, India

SDE - 2

Jun 2022 – Jul 2024 · 2 yrs 1 mo · Bengaluru, Karnataka, India

Apache AirflowDatabricksData Engineering

Fractal

Senior Big Data Engineer

Feb 2021 – May 2022 · 1 yr 3 mos · Bengaluru, Karnataka, India

Apache AirflowExtractTransformLoad (ETL)Data Engineering

Yubi

Senior Data Engineer

Aug 2019 – Feb 2021 · 1 yr 6 mos · Greater Chennai Area

ExtractTransformLoad (ETL)AWS Elastic BeanstalkData Engineering

Aspire systems

Data Engineer

May 2017 – Aug 2019 · 2 yrs 3 mos · Greater Chennai Area

  • Project Description: Conceptualised, Led and Built Big-data platform on AWS for Dinebrands.
  • Responsibilities:
  • Using AWS EMR Cluster, processed and collected data from various data points for multiple restaurant locations present across the globe.
  • Built Apache NiFi custom processors for custom API endpoints like Weather (NOAA), Facebook, Disaster (FEMA), and US Census
  • Built AWS S3 as data lake and used Apache Hive, to expose the processed data directly from AWS S3 to form optimized tables. Integrated Apache Hive with MSTR for dashboard visualization
  • Tech-stack: AWS EC2, AWS S3, Apache Spark, AWS EMR, Python, AWS IAM, Apache NiFi
ExtractTransformLoad (ETL)AWS EC2AWS S3Apache Spark+5

Education

Government College of Technology, Coimbatore

B.E

Jan 2013 – Jan 2017

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