Suraj R.

Data Engineering Specialist

Bangalore , India

Experience: 7 Years

Suraj

Bangalore , India

Data Engineering Specialist

USD / Year

Start Date / Notice Period end date:

7 Years

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About Me

7+ years of experience in data analytics with renowned MNCsExperienced Data Engineer with a demonstrated history of working in Telecom, Supply Chain, HCM,and Advertising domainExcellent understanding of Big data stack. Expertise on Spark, Hadoop and ...

Skills

Positions

Data Analysts

Data Scientist

Data Engineer

Portfolio Projects

Description

Working in Data Engineer group, extracting, ingesting, transforming Ad Marketing, Telecom, Logistics data to be consumed by downstream teams
Developed flow to migrate the data from 50+ sources to AWS S3 using python scripts
Responsible for building and supporting a Big Data-based ecosystem designed for enterprise-wide analysis of structured, semi-structured, and unstructured data.
Managing a team of 4 people and assigning day to day tasks to them.
Validating migrated data, performing data quality checks, implementing CI/CD and orchestration using Jenkins, Terraform, Docker etc.
Reviewing code/providing feedback relative to best practices, performance improvements etc. and work in the pair-programming environment also
Developed NLP model for sentimental Analysis on twitter data (Logistic Regression).

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Description

Automated the process of batch data transfer to be loaded into RedShift using Hive & Shell scripts
Establish a strong working relationship with business, teammates, and others within the organization

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Description

Developed a framework to migrate the data from different legacy sources to HDFS and using SSIS and T-SQL to process further
Lead a project with 5 people for a PAN India implementation of an invoicing tool for Reliance Communication which improved efficiency in invoicing by 70% and saved 2430 man-hours monthly
Introduced big data analytics to automate the generation of 250 reports per month catering from Engineer to CEO
Assist application development teams during application design and development for highly complex and critical data projects
Involved in POCs to adopt new technologies to improve data platform management in large scale with high throughput

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