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Click here or scroll down to respond to this candidate Candidate's Name
Philadelphia, PA | I PHONE NUMBER AVAILABLE
Data Engineer EMAIL AVAILABLE | LINKEDIN LINK AVAILABLE
Career Objective
Short Term: Leverage my expertise in ETL processes, data modeling, and cloud-based technologies (such
as AWS, Azure, and GCP) to contribute effectively in projects and deliver high-quality solutions.
Long-Term: Aspire to evolve into a seasoned data engineering leader, spearheading strategic initiatives
in data architecture, advanced analytics, and machine learning. I am committed to staying abreast of
technological advancements to drive tangible business value.
Professional Summary
Over 7 years of experience in IT industry with 3+ years of experience in Big Data ecosystem, Data Acquisition,
Ingestion, Modeling, Storage Analysis, Integration, Data Processing, and Database Management.
Spark Expertise: Proficient in ETL processes using Spark Core, Spark-SQL, and real-time data processing
with Spark Streaming. Skilled in working with RDDs, DataFrames, and DataSet APIs.
Distributed Systems and Parallel Computing: Solid understanding of distributed systems architecture and
the principles behind parallel computing.
Cloud-Based Data Solutions: Experienced in creating robust Spark applications deployed on AWS services.
Proficient in using SQL queries for backend database analysis.
Business Intelligence (BI): Proficient in building BI dashboards using tools like Quicksight and PowerBI,
integrating data from various sources.
Data Virtualization: Hands-on experience with Denodo for creating data virtualization solutions across on-
premise and cloud data sources.
Agile and SDLC: Well-versed in Agile methodologies and effective coordination with stakeholders.
Programming Languages: Fluent in Python, C#, and JavaScript.
Web Application Development: Proficient in designing web applications using .NET MVC, Web API,
NodeJS, React, and Angular.
DevOps and Infrastructure: Hands-on experience with Docker, Kubernetes, Jenkins, Azure DevOps,
AWS CDK, and Terraform.
Mentored more than 50+ freshers and experienced employees in the field of Web Development and Data Engi-
neering.
Technical Skills and Certifications
Bigdata Ecosystem: Spark, Map Reduce, Hive, HDFS, Kafka
NoSQL Databases: CosmosDB, MongoDB
Cloud Services: S3, Redshift, Athena, Glue, Lambda, Step Functions, App Flow, Kinesis, EC2, SageMaker,
Cloud Watch, SQS, SNS, Azure Storage, App Service, Function App, Logic App, Application Insight, Event
Hub, Stream Analytics, Denodo, New Relic, OpsGenie
Programming Languages and Frameworks: Python, C#, Javascript, MVC, Web API, React, Angular
Databases: MSSQL, MySQL, PostgreSQL
Build Tools: Jenkins, CDK, Terraform
BI Tools: QuickSight, PowerBI
Development Methodologies: Agile/Scrum
Certifications: Power BI Data Analyst Associate, Azure AI Engineer Associate, Azure Data Scientist Associate
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Work Experience
Nagarro Software Pvt. Ltd. and Nagarro Inc. Jan 2020 - Present
Data Engineer
Designed and implemented multiple data solutions using cloud technologies from both AWS and Azure.
Collaborated closely with business teams and data science teams to ensure accurate translation of requirements
into the data pipelines.
Covered full spectrum of data engineering pipelines, including data ingestion, transformations, and analy-
sis/consumption.
Successfully migrated datasets and ETL workloads from on-premises environments to AWS Cloud services.
Built a centralized Data Lake and Data Warehouse on AWS, leveraging primary services such as S3, EMR,
Athena, Redshift, Lambda, AppFlow, and Glue.
Automated data ingestion pipelines using SQS, CloudWatch Rules etc. for efficiently moving large volumes
of data from existing data warehouses to the cloud.
Developed AWS Lambdas, Glue, and Step Functions to orchestrate complex data pipelines.
Created real-time streaming pipelines using AWS Kinesis, S3, and Athena.
Processed substantial number of MSSQL backup files from desktop applications using S3, Fargate, Glue,
and Athena.
Constructed insightful Quicksight dashboards by integrating data from various sources, including S3, Athena,
and Redshift.
Contributed to Azure Data Factory pipelines for data generation and transfer to the S3 Data Lake.
Implemented data virtualization using Denodo, consolidating disparate data sources under a unified um-
brella.
Monitored health and performance of different pipelines and services by integrating New Relic Dashboards
and OpsGenie Alerts.
Automated infrastructure setup using Terraform, CDK, and Jenkins pipelines.
Environment and Tools: AWS S3, Lambdas, Redshift, Athena, Glue, Spark, Glue DynamicFrame, EMR, Kinesis,
Azure Data Factory, Azure Function App, Azure Storage, Python, C#, Bitbucket, Jira, PowerBI, QuickSight, Miro
Nagarro Software Pvt. Ltd. April 2019 - Feb 2020
Data Scientist
Led end-to-end design and implementation of multiple data science projects, utilizing cloud technologies from
both AWS and Azure.
Collaborated closely with business teams to ensure precise translation of requirements into effective analysis
and modeling.
Delivered solutions across diverse domains, including Point of Sales, Customer Sentiment Analysis, and
Automation of Tools using algorithms such as OpenCV, Neural Networks, AWS QuickSight.
Leveraged data insights to enhance product sales by analyzing customer purchasing patterns and other critical
factors.
Developed a Chatbot using Azure Dialog Flow and Luis, streamlining DevOps-related tasks for improved
efficiency within DevOps and QA teams.
Established end-to-end CI/CD pipelines to automate the model training and deployments where ever applica-
ble.
Environment and Tools: AWS S3, Lambdas, QuickSight, Azure Data Factory, Azure Function App, Azure
Storage, Python, Pandas, NumPy, OpenCV, Regression, Neural Network, Bitbucket, Jira
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Nagarro Software Pvt. Ltd. June 2016 - March 2019
Full Stack Developer (.Net + Azure)
Collaborated closely with business teams to ensure accurate translation of requirements into actionable solu-
tions.
Worked seamlessly within a fully Agile team, utilizing tools such as Kanban, Scrum, Retro, Sprint, and PI
Planning. Also served as Scrum Master for selectd Sprints.
Developed web applications using C# .NET, MVC, Web API, React, and NodeJS.
Hosted web applications in Azure, leveraging technologies including App Service, Azure SQL, CosmosDB,
API Gateway, WebJobs, Application Insight, Function App, and Logic App.
Established end-to-end CI/CD pipelines for applications from scratch, employing tools like Docker, Azure
RM, Jenkins, and JFrog Artifactory.
Contributed to an Emergency Production Support team, ensuring system stability and rapid issue resolution.
Environment and Tools: C# .Net, MVC, Web API, React, NodeJS, App Service, Azure SQL, CosmosDB, Web-
Jobs, API Gateway, Application Insight, Function App, Logic App, Docker, Azure RM, Jenkins, JFrog Artifactory
Educational Qualification
MSc in Mathematics 2014-2016
Indian Institute of Technology Bombay Mumbai, India
BSc in Mathematics 2011-2014
West Bengal State University Kolkata, India
Corporate Achivements
Awarded employee of the month more than 15 times for excellent work in the projects.
Awarded star employee of the year 3 times for the excellent work in the projects.
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