Ratnesh Yadav

Consultant

Bengaluru, Karnataka, India6 yrs 6 mos experience

Most Likely To SwitchHighly Stable

Key Highlights

5+ years of experience in AWS Big Data development.
Reduced project costs by 20% through effective collaboration.
Expert in designing and implementing ETL processes.

Stackforce AI infers this person is a Big Data Engineer specializing in AWS and ETL solutions.

Contact

ratnyadav@deloitte.com LinkedIn

Skills

Core Skills

EtlAwsBig DataData Engineering

Other Skills

AWS CWIAWS CloudFormationAWS Command Line Interface (CLI)AWS GlueAWS LambdaAmazon AthenaAmazon DynamodbAmazon RedshiftAmazon S3Amazon SQSAmazon Simple Notification Service (SNS)Amazon Web Services (AWS)Apache KafkaApache SparkApache Sqoop

About

Skilled AWS Big Data Developer with 5+ years of outstanding performance record in designing and implementing ETL processes.Proficient in Python,Sql,Hadoop,Pyspark,spark and cloud based data platforms.Masters in Collaborating with cross-functional teams to deliver high quality solution saving project costs by 20%.

Experience

6 yrs 6 mos

Total Experience

2 yrs 2 mos

Average Tenure

4 yrs

Current Experience

Deloitte

Consultant (Software Engineer II)

Jun 2022 – Present · 4 yrs · Banglore · Remote

Led the design and implementation part of ETL Pipeline reducing data processing time by 25%.
Guided and reduced redundant activities by building Data Warehouses,Data Modellling and Data
Ingestion.
Developed comprehensive Low-Level Designs (LLD) for the project, ensuring alignment with business requirements.
Improved data accuracy by 15% by implemented data quality checks.
Conducted performance tuning on SQL queries,optimized data retrieval by 20%.
Modernized DB2 On prem data distribution to AWS and Snowflake Datawarehouse within a week.

ETL PipelineData WarehousingData ModelingData IngestionSQLAWS+2

Wipro

Senior Software Engineer (Digital Operations and Platforms)

Nov 2021 – Jun 2022 · 7 mos · Greater Noida Uttar Pradesh, India · Remote

Client:- Alight Solutions
Involved in POCs for Data migration to AWS delivering 100% accuracy.
Acheived 100% consistency in a team of 4 members moderated for driving poc on ETL Flows in AWS Glue.
Analysed and Guided team on strengthning POC's to set up Devops environment using Bitbucket, AWS code deploy on EC2 and S3 environments.
Acheived proficiency in Glue, Redshift, S3, Lambda, lake formation and various other AWS and Data Engineering Services.
Reduced cost by 100 -man hours thorugh Informatica IICS cloud services and IDF for performing ETL operations and Building data pipelines.

AWS GlueRedshiftS3LambdaInformatica IICSETL+1

Ibm

2 roles

Application Developer

May 2020 – Nov 2021 · 1 yr 6 mos · Noida, Uttar Pradesh, India · Remote

Mastered with 100% consistency in Hive queries for creating and querying HIVE tables to retrieve useful analytical information.
Analysed and initiated use of Sqoop to import large data from traditional RDMS to HDFS and handled incremental Sqoop.
Pioneered in Data Crunching, Data Ingestion, Data Transformation Activities.
Load the processed data into Hive External table and to create Partitioning and Bucketing techniques in hive to improve the performance, involved in choosing diﬀerent file formats like ORC, Parquet format.
Used Scala to process the data in Spark.

HiveSqoopScalaSparkData IngestionData Transformation+2