AKASH NANASAHEB UDE

+917*********

Ahmednagar, Maharashtra

adw9t1@r.postjobfree.com

Linkedin: https://www.linkedin.com/in/akash-ude-382888260 SUMMARY

● Data Engineer with 1.5 yrs of experience in building and optimizing data pipeline.

● Having hands on working experience in big data frameworks and Ecosystem including data ingestion and data processing(SPARK, Snowflake, HDFS)

● Have worked with AWS cloud big data technologies including S3 datalake, AWS glue, AWSlambda, cloudwatch.

● Have knowledge of spark ecosystem including spark core, Pyspark, SPARK-SQL

● Developed custom libraries and user-defined functions to perform data transformation and aggregation tasks.

● Built and optimized data processing jobs to ensure efficient performance, and tuned queries to improve overall system performance.

● Experience in designing and implementing data ingestion pipelines for batch processing of data from various sources.

● Possess excellent analytical, problem solving, communication and interpersonal skills with a demonstrated ability to work both independently and collaboratively in team environments. EDUCATION

CGPA, 8.6, Bachelor of Engineering,Electronics And Telecommunications, SPPU 10+2, 78%, Maharashtra state board of Secondary and Higher Secondary Education, Pune 10, 90%, Maharashtra state board of Secondary and Higher Secondary Education, Pune EXPERIENCE

DGCT INFOSOFT, NAGPUR

ServiceNow - Data Engineer 09/2022 - present

● Project name: Retail data analytics

It’s an end to end ETL project to analyze the customer retail data. In this project we built the data migration pipeline using Apache Spark. This project involved analyzing business data to provide insights and actionable recommendations to improve sales, customer satisfaction, and productivity in key areas such as inventory management, pricing, and marketing campaigns. Environment: Spark, AWS(DMS, lambda, Glue, Cloudwatch), s3 datalake, snowflake Roles and Responsibilities:

Daily stand meetings for tasks status discussions.

Apply the technical knowledge in Pyspark to solve day to day tasks.

Working with different file formats like parquet, csv to optimize storage performance

Using transformations in Pyspark / Spark SQL to ETL / clean the data.

Creating the spark glue jobs to apply the transformation on the data

Optimizing the spark job for better performance and monitoring them using cloudwatch and SparkUI

Implementing various transformations on data by understanding the client requirement and building the logic on them

Implement data validation and data quality checks

Write Sql queries in snowflake to extract insights from data as per business requirement DGCT INFOSOFT, NAGPUR

ServiceName - Data Engineering trainee 01/2022 - 05/2022

● Gained a thorough understanding and hands-on experience of big data frameworks and technical tools like

: PySpark, databricks, SQL and different data related libraries.

● Earned knowledge of new technologies like Tableau, Power BI

● Got hands-on-experience with cloud services like AWS, Microsoft Azure

● Worked with data analysis and visualization libraries in python such as Pandas, Numpy, Matplotlib, Seaborn TECHNICAL SKILLS

Languages: Proficient -> Python, SQL, Bash

Database: Oracle, MYSQL, PostgreSQL

Big Data Frameworks: Pyspark, spark-SQL, Hadoop, Sqoop, HDFS

Cloud Technologies: Amazon Web Service(AWS), Microsoft Azure

Data Warehouses: Snowflake, Hive

Tools : PyCharm, putty, data bricks

Technology: Git,Github, Jenkins,Docker

Python libraries: Pandas, Numpy, Matplotlib, Seaborn,Scikit-learn

Other: Problem solving, Data structures and algorithms PERSONAL DETAILS

Address: A/P-Khedle Kajali,Tal-Newasa, Dist-Ahmednagar,414603 Birth Date: 12-01-2000

Languages: Marathi, Hindi, English

Marital Status: Unmarried

Gender: Male

DECLARATION

I hereby declare that all the information in this document is accurate and true to best of my knowledge. Place: Ahmednagar signature

date: (Akash Nanasaheb Ude)

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