Pallavi Vetal

I'm a

About

Data Engineer with 2+ years of experience in building data intensive applications, tackling challenging architectural and scalability problems in Finance. Currently working on migration of on-premise data solutions to Azure data solutions. Mostly worked on Big data tech-stack : Hive, HDFS, Impala, Hbase, Shell Script, Apache Spark. Cloud Stack : ADF, ADB, CosmosDB, ADLS Gen2, Blob Storage, VM, Azure Functions

Data Engineer (UBS)

github.com/pallavi-vetal

  • Birthday: 21 March 1996
  • Phone: +91 8329216326
  • City: City : Pune, Maharashtra, India
  • Degree: BE - Computer Engineer
  • Email: vetalpallavi21@gmail.com

Skills

Apache Spark 70%
Hive 80%
Hadoop 75%
Shell Script 75%
Java 75%
Azure Data Factory 80%
Azure Databricks 90%
Azure Data Lake Gen2 100%
Azure DevOps 60%
Scala 50%

Resume

Detail-oriented, responsible, assiduous and committed engineer.

Sumary

Pallavi Vetal

Data Engineer with 3+ years of experience in building data intensive applications, tackling challenging architectural and scalability problems in Finance. Currently working on migration of on-premise data solutions to Azure data solutions. Mostly worked on Big data tech-stack : Hive, HDFS, Impala, Hbase, Shell Script, Apache Spark. Cloud Stack : ADF, ADB, CosmosDB, ADLS Gen2, Blob Storage, VM, Azure Functions

  • Pune, Maharashtra, India
  • +91 8329216326
  • vetalpallavi21@gmail.com

Education

BE - Computer Engineering

2015 - 2018

Pune Institute Of Computer Technology

  • GPA: 3.4/4

Diploma - Computer Engineering

2010 - 2014

Government Polytechnic Pune

  • Final Year Percentage: 91%

Schooling - Rani Laxmibai Girls Military School

2005 - 2010
  • SSC Percentage: 95.34%

Professional Experience

Fractal Analytics, Azure Data Engineer

July 2021 - Present

Location : Bangalore

  • Expertise in relational and dimensional modelling, including big data technologies

UBS, Data Engineer

July 2018 - June 2021

Location : EON IT , Kharadi, Pune

  • Worked on migration of on-premise data solutions to Azure Cloud. Resources Used : CosmosDB, Azure Data factory, Azure Databricks, ADLS Gen2
  • Experience with developing dynamic Azure data factory pipelines which gets triggered on arrival of control file in Blob Storage
  • Designed Azure Databricks notebooks to consume data from ADLS Gen2, process it and ingest processed data to CosmosDB. Created and managed Hive as well as Delta tables in ADB. Databricks Runtime : 6.5, Spark: 2.4.3, Scala: 2.11, Hive 2.1.2
  • Experience in loading and retrieving data from CosmosDB (SQL Api) as well as optimizing write and read operations on data stored in CosmosDB
  • Designed and developed Spark-based framework to process the data present in HDFS and create reports for UBS regulatory team
  • Well versed with Data Warehousing (ETL) methods including historical and incremental loading from heterogeneous data source.
  • Experience in reconfiguring & tuning spark for performance tuning.
  • Build Unix shell scripts to automate the task and reduce manual efforts.
  • Experience with version control systems Git and working in Agile project model.

Personal Projects

Code for all below projects can be found at my GitHub Page : github.com/pallavi-vetal

  • All
  • Web
  • ML
  • Data

Certifications

 

Microsoft Certified DP200 : Implementing an Azure Data Solution

Validates the skills and knowledge to implement security requirements, implement data retention policies and access external data sources. Azure services covered : Azure Cosmos DB, Azure SQL Database, Azure SQL Data Warehouse, Azure Data Lake Storage, Azure Data Factory, Azure Stream Analytics, Azure Databricks, and Azure Blob storage.

Microsoft Certified AZ - 900 : Azure Fundamentals

Demonstrated foundational level knowledge of cloud services and how those services are provided with Microsoft Azure.

Front-End Web Development with React

Demonstrated foundational level knowledge of front end Development using ReactJS. Covered React-Router, building single page application, state management using react-redux, deploying react application on Heroku.

JavaScript

Demonstrated foundational level knowledge of javascript Functions, Currying, Hoisting, Scope, Inheritance, Events and Error Handling.

Coursera Deep Learning Specialization by Andrew Ng

Covered Fundamentals of Deep learning. Mainnly focused on Improving Deep Neural Networks,Structuring Machine Learning Projects (, Sequence Models(RNN), CNN

Awards and Achievements