https://dream.weekday.works/redirectToHiringCopilotExtension/

Sequoia Capital

Insight Partners

Taylor Brown

Ajeet Singh

WaterBridge Ventures

Salesforce Ventures

Bob Muglia

Bob Moore

Jake Stein

Auren Hoffman

Surge

WaterBridge

Akshay Kothari

ratan-tata.com

Rajan Anandan

500 Global

Hatcher+

Bhagchandka Family Fund

Yerravalli Sashipal Reddy

Mittal Veena

Jaikishan Lakhiprasad Bhagchandka

Unreasonable

Surge Ventures

Vistra ITCL

RNT Associates

Genesis Holdings

IQ-EQ

Yukti

Activation Fund

Reasoned

Atlan DataOps platform for multiple teams. It allows users to collect quality data using a mobile data collection app and collect responses from the individuals and the data can be integrated with BI tools. It helps data teams to solve critical problems related to humanity and enables them to download data in PDF format. It also allows users to access data from various sources and enables users to store it in the cloud. Clients include Unilever, MindShare, BASF, Mahindra and McKinsey & Company.

About Lowe’s

Lowe’s Companies, Inc. (NYSE: LOW) is a FORTUNE® 50 home improvement company serving approximately 19 million customers a week in the United States and Canada. With fiscal year 2021 sales of close to $96 billion, Lowe’s and its related businesses operate or service more than 2,200 home improvement and hardware stores and employ over 300,000 associates. Based in Mooresville, N.C., Lowe’s supports the communities it serves through programs focused on creating safe, affordable housing and helping to develop the next generation of skilled trade experts. 

For more information, visit Lowes.com

About Lowe’s India:
At Lowe's India, we are the enablers who help create an engaging customer experience for our $96 billion home improvement business at Lowe's. Our 3600+ associates work across technology, analytics, business operations, finance & accounting, product management, and shared services. We leverage new technologies and find innovative methods to ensure that Lowe's has a competitive edge in the market.

To know more about Lowe's India, visit: lowes.co.in

Note: 
Lowe’s Services India Private Limited (Lowe’s) has not authorized any agency or individual to collect any form of fees or deposits from candidates or prospective employees for employment or in return for the job at Lowe’s. If you observe any such request, please send an e-mail to india-careers@lowes.com with the details and do not make any sort of payments. Lowe’s will not be responsible to anyone acting on an employment offer in return of money or any other type of gain. Further, Lowe’s reserves the right to take legal action against such agencies or individuals misrepresenting Lowe’s.

Shop tools, appliances, building supplies, carpet, bathroom, lighting and more. Pros can take advantage of Pro offers, credit and business resources.

◦ Developed Datalake Data Processor(DPP) Framework based on Apache Spark to generate data pipelines using configurations which reduces pipeline integration by 80-90%.
◦ Development of real-time streaming delta-table Pipelines for critical and large tables with average upsert processing throughput of 15k messages/sec.
◦ Migration of all Batch and Streaming ETL spark pipelines from AWS EMR to Databricks with a performance gain of nearly 40%. in all the jobs.
◦ Performed multiple POCs to optimise cost and performance of Datalake Ecosystem.
◦ Creation of multiple custom and complex Spark based Batch and Streaming ETL Pipelines on huge datasets (TB scale) to cater different business scenarios.
◦ Optimisation and Customisation of operators and services of MWAA Airflow according to our different business requirements.
◦ Integration of CI/CD Process, Test Cases and Checks for faster development and deployment of DataLake Pipelines.

FedEx

Addition

Lee Fixel

Fidelity Investments

Multiples Alternate Asset Management

Tiger Global Management

Nexus Venture Partners

Steadview

Baillie Gifford

Chimera

The Carlyle Group

SoftBank Vision Fund

Times Internet

CPP Investments

Fosun RZ Capital

Abhishek Goyal

Nitin Dhingra

Ajith Pai

Sandeep Barasia

Anjali Bansal

Srivatsan Rajan

Sandeep Kumar Barasia

Hanne Birgitte Breinbjerg Sorensen

Ada Bharati

Charul Manglani

Kanta Manglani

Kishor Manglani

Shilpi Bharati

Avendus

SoftBank Capital

Malabar Investments

Alpine Capital

RPS Ventures

Ab Initio Capital

Avaana Capital Advisors

Alpha Wave Global

Archerman Capital

Provider of end-to-end delivery and shipping solutions for e-commerce businesses. The solutions provided are last-mile delivery service, third-party and transit warehousing, reverse logistics, payment collection, vendor-to-warehouse and customer shipping, cross-border services, and more. It also provides a mobile application for tracking shipments. The application is available for both Android and iOS devices.

Provider of logistics management solutions for e-commerce businesses

◦ Responsible for design and development of multiple services and pipelines in near real-time Spark Based datamart that can handle throughput upto 4k messages/sec.
◦ Reduced the infrastructure cost of datamart by 70% by multiple optimisations on AWS EMR and Apache Spark.
◦ Grafana Dashboard for monitoring infrastructure and pipelines health.
◦ Reviewed and implemented multiple pipelines for real time datamart.
◦ Work on query optimization process for the stake holders in order to reduce latency by almost 45%.
◦ Migration plan for depreciation of old posgreSQL database to datamart with zero downtime.

◦ Responsible for developing solutions to process and analyzed the data in Hadoop using hive and spark to produce Business Ready Datasets (BRDs) to downstream systems.
◦ Responsible for data management in Datalake by creating Hive tables and writing HiveQL
◦ Involved in loading, transforming and large sets of Structured and Semi-Structured data and analyzed them by
creating Hive queries and Shell scripts.
◦ Implement process improvements (Automation, Performance tuning, Optimize workflows).
◦ Design, plan, and develop programs to perform automated extract, transform and load data between data sources
when working with large data sets (TBs+ range).
◦ Raise opportunities for enhancements and process improvements.
◦ Design, develop, test, debug, maintain, and document system components.
◦ Build Azure Data Validation tool to perform various types of data validations between databases in On-premise
and Azure.
◦ Conducted Sessions on Spark and Machine Learning at Team and Unit Level.

Turenne Capital

Aurum Ventures

SG Americas Securities

Welsh, Carson, Anderson & Stowe

Dao Ventures

OSS and BSS solutions provider. It provides customer experience software solutions to communications and media service providers. Its solution suite includes BSS, OSS, NFV, Big Data, customer experiences, OTT monetization, Ad network monetization, and MVNE solutions coupled with professional and managed services.

Building Scalable Data Platforms

Praveen Kumar 🇮🇳