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Nikhitha B Email & Phone Number

Data Engineer at Walmart |Data Driven Problem Solver |Python |R |Scala |Java |HTML5 |CSS |JavaScript |Tableau |Power BI |SQL |Hadoop |Apache |Kafka |Spark |Snowflake |GCP |Azure |AWS |ETL |S3 |UNIX |Mongo DB| at Walmart
Location: Contact Info, United States 6 work roles 1 school
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Data Engineer at Walmart |Data Driven Problem Solver |Python |R |Scala |Java |HTML5 |CSS |JavaScript |Tableau |Power BI |SQL |Hadoop |Apache |Kafka |Spark |Snowflake |GCP |Azure |AWS |ETL |S3 |UNIX |Mongo DB|
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Contact Info, United States
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Nikhitha B is listed as Data Engineer at Walmart |Data Driven Problem Solver |Python |R |Scala |Java |HTML5 |CSS |JavaScript |Tableau |Power BI |SQL |Hadoop |Apache |Kafka |Spark |Snowflake |GCP |Azure |AWS |ETL |S3 |UNIX |Mongo DB| at Walmart, a with 511875 employees, based in Contact Info, United States. AeroLeads shows a matched LinkedIn profile for Nikhitha B.

Nikhitha B previously worked as Data Engineer at Walmart and Sr. Data Engineer at Capital One. Nikhitha B holds Bachelor Of Engineering - Be, Computer Science, 3.55/4 from Osmania University.

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Walmart

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About Nikhitha B

With 9 years of IT experience, including 8 years specializing in Big Data using Hadoop, I excel in analysis, design, development, testing, documentation, deployment, and integration with SQL and Big Data technologies. Proficient in Hadoop ecosystem components like HDFS, YARN, MapReduce, Hive, Impala, Pig, Sqoop, HBase, Spark, Kafka, Flume, Oozie, and Zookeeper. Skilled in ETL methods and data warehousing for reporting and analysis. Deployed Big Data applications on AWS and Azure, leveraging services like EC2, S3, RDS, Redshift, and Lambda. Developed data ingestion modules using AWS Step Functions, Glue, and Python. Managed real-time streaming data with Kafka and Spark Streaming, optimized Hive tables, and used Spark-SQL for data processing. Created secure views in AWS Athena and collaborated with Data Science teams on machine learning models. Converted AWS infrastructure to serverless architecture, automated EMR clusters, and set up Databricks for analytics. Proficient in Python, Java, C, and SQL, with extensive project lifecycle experience using Agile and Waterfall methodologies.

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Walmart
Walmart
Data Engineer at Walmart |Data Driven Problem Solver |Python |R |Scala |Java |HTML5 |CSS |JavaScript |Tableau |Power BI |SQL |Hadoop |Apache |Kafka |Spark |Snowflake |GCP |Azure |AWS |ETL |S3 |UNIX |Mongo DB|
bentonville, arkansas, united states
Website
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511875
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6 roles

Nikhitha B work experience

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Data Engineer

Current

Sunnyvale, California, United States

Oct 2024 - Present

Sr. Data Engineer

Illinois, United States

Experienced in system analysis and effort estimation for development and testing. Designed components involving Sqoop, Hadoop (MapReduce & Hive), Spark, and FTP integration. Proficient in writing optimized Hive and Spark queries using window functions and customizing Hadoop parameters. Developed ETLs using PySpark, employing both DataFrame and Spark SQL APIs. Utilized Spark for transformations, saving results to HDFS and Snowflake. Migrated on-premises applications to AWS, leveraging services like EC2, S3, and maintaining Hadoop clusters on AWS EMR. Expertise in real-time analytics with Spark Streaming, Kafka, and Flume, and configured Spark Streaming to integrate with Kafka. Developed ETL processes in AWS Glue for data migration to Redshift. Used Jira for issue tracking and Jenkins for CI/CD. Enforced data governance best practices and created DataStage jobs for various ETL tasks. Debugged, scheduled, and monitored ETL jobs using Airflow and built data pipelines on AWS. Experienced in server monitoring with Nagios and CloudWatch, utilizing ELK Stack for analytics. Used DBT for ETL transformations and automated data loads with Unix Shell scripts. Implemented monitoring solutions with Ansible, Terraform, Docker, and Jenkins.

Jan 2023 - Sep 2024

Sr. Data Engineer

Cincinnati, Ohio, United States

Evaluated Hadoop ecosystem suitability for projects and implemented various POC applications for Big Data initiatives. Estimated software and hardware requirements for Name node and Data nodes. Experienced in migrating on-premise databases to AWS Redshift using AWS services. Developed PySpark code for AWS Glue jobs and EMR. Installed and configured Hadoop MapReduce and HDFS, developing multiple MapReduce jobs in Java and Scala for data cleaning and preprocessing. Implemented Spark using Python and Spark SQL for efficient data processing. Imported data from MySQL to HDFS using Sqoop and converted Hive/SQL queries into Spark transformations. Utilized IAM for account and policy management, integrating with S3, DynamoDB, RDS, Lambda, and SQS Queue. Reviewed SQL explain plans in Snowflake and developed ETL parsing and analytics using Python/Spark for structured data models in Elasticsearch. Migrated data from Oracle to Cassandra using Spark-Scala and developed Spark-Cassandra-Connector APIs for data tasks. Implemented Hive partitions and bucket joins, created email notifications for job completion, ensured PCI compliance using VPC and related security tools, defined Oozie workflows, and supported application productionization after BI testing.

Sep 2020 - Dec 2022

Sr. Data Engineer

Michigan, United States

I am an experienced Azure Cloud Engineer specializing in healthcare cloud infrastructure management. My expertise includes secure, compliant multitenant management across Azure PaaS services, such as Azure SQL, IAM, Azure AD, and B2C configurations, all tailored for healthcare data security. I have developed and enforced API management policies, integrated Event Hubs, and utilized Azure Key Vault to support HIPAA-compliant operations. In addition to managing Windows Server and M365 services, I have implemented Azure Active Directory for enhanced security and developed CI/CD pipelines for Java applications using Azure DevOps. My Python skills include data manipulation and machine learning, leveraging libraries like Pandas, Scikit-learn, and TensorFlow. I've also optimized data processing using Vertex AI and managed real-time data pipelines. My experience extends to secure Azure networking, including VNet Gateways, NSG configurations, and Site-to-Site VPNs, ensuring robust connectivity across cloud environments. I have also contributed to operational efficiency by implementing Perl-based solutions and optimizing utility billing processes with SAP IS-U modules. My diverse skill set ensures secure, efficient, and scalable solutions tailored to the unique needs of healthcare organizations.

Jan 2019 - Aug 2020

Data Engineer

Durham, North Carolina, United States

Designed databases with tightly bound key constraints and wrote PL/SQL stored procedures, functions, packages, triggers, and views to implement business rules. Extensive experience with Data Definition, Manipulation, Query, and Transaction Control Language. Interacted with business users to understand requirements and implemented designs following AGILE methodology. Installed, upgraded, and configured Microsoft SQL Server, migrating data from SQL Server 2008 to 2012. Designed and created tables, views, indexes, and transactions. Built modern data solutions using Azure PaaS services, supporting data visualization and analyzing the impact of new implementations on existing processes. Extracted, transformed, and loaded data to Azure Data Storage using Azure Data Factory, T-SQL, Spark SQL, and U-SQL Azure Data Lake Analytics. Created ADF pipelines for data integration from various sources. Developed warmup programs for MSSQL DB and performed manual testing using Splunk and Putty for log analysis. Configured data mapping between Oracle and SQL Server, tested performance queries, and used Hibernate for database interactions. Wrote JUnit test cases and created Splunk dashboards to monitor modified MDBs. Adaptable to new technologies.

Jul 2016 - Dec 2018

Etl Developer

Hyderabad, Telangana, India

Responsibilities included gathering business requirements, developing data cleansing and migration strategies, writing functional and technical specifications, and creating source-to-target mapping. Designed data profiling and validation jobs in Informatica and created ETL jobs. Worked on Hadoop clusters ranging from 4-8 nodes in pre-production and up to 24 nodes in production. Built APIs for customer service data access and transformed Hadoop jobs to HBase. Efficiently fixed defects and collaborated with QA and BA teams. Managed cluster maintenance, monitoring, commissioning, decommissioning, troubleshooting, data backups, and log reviews. Worked with ETL SQL Server Integration Services (SSIS) developers to explain data transformations. The new Business Data Warehouse (BDW) improved query/report performance and established a self-service reporting model in Cognos. Implemented bucketing and partitioning in Hive, used Oozie for deployment, and Perforce for versioning. Developed database management systems, performed indexing, performance tuning, and backup/restore. Wrote Hadoop jobs using Hive QL, Pig Latin, and custom MapReduce in Java. Designed and developed data mapping procedures for ETL, data extraction, analysis, and loading using R programming.

Jan 2015 - May 2016
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Nikhitha B education

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What company does Nikhitha B work for?

Nikhitha B works for Walmart.

What is Nikhitha B's role at Walmart?

Nikhitha B is listed as Data Engineer at Walmart |Data Driven Problem Solver |Python |R |Scala |Java |HTML5 |CSS |JavaScript |Tableau |Power BI |SQL |Hadoop |Apache |Kafka |Spark |Snowflake |GCP |Azure |AWS |ETL |S3 |UNIX |Mongo DB| at Walmart.

Where is Nikhitha B based?

Nikhitha B is based in Contact Info, United States while working with Walmart.

What companies has Nikhitha B worked for?

Nikhitha B has worked for Walmart, Capital One, Kroger Technology & Digital, Michigan Health Care Corp, and Aspida.

Who are Nikhitha B's colleagues at Walmart?

Nikhitha B's colleagues at Walmart include Allen Tripp, Lauren Clark, Flory Arroyo, Charles Cooper, and Dallas Schweighauser.

How can I contact Nikhitha B?

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What schools did Nikhitha B attend?

Nikhitha B holds Bachelor Of Engineering - Be, Computer Science, 3.55/4 from Osmania University.

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