Munendra Singh Parihar

Data Engineer

Bengaluru, Karnataka, India14 yrs experience

Key Highlights

Over 10 years of experience in Big Data technologies.
Expert in designing solutions for complex business problems.
Strong leadership in data engineering and analytics initiatives.

Stackforce AI infers this person is a Big Data and Analytics expert with a strong focus on Data Engineering.

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Skills

Core Skills

Big DataData EngineeringBusiness Process ManagementApplication DevelopmentVba Development

Other Skills

AccountingAirflowApache KafkaApache SparkApache Spark StreamingAutomationAzure DevOpsCloud DevelopmentData ModelsDatabase DesignDecision-MakingDevOpsExtract, Transform, Load (ETL)Google Cloud Platform (GCP)Hadoop

About

Skilled in Big Data Technology, Business Analytics, Data Warehousing, Business Intelligence, Automation, data visualization, Database Design & Programming. Rich Experience in leading team for Tech Stack & partner with Data Science initiatives for the organization. Have more than 10 years of experience handling TB's of data and developing data pipelines. Good understanding of Analytical framework components like Statistics, Modelling Experience in designing and executing solutions for complex business problems involving large scale data warehousing, real-time analytics and reporting solutions. Hands-on experience in Hadoop/HIVE/ Spark/NoSQL & SQL Databases

Experience

Walmart global tech india

Sr Data Engineer

Mar 2024 – Present · 2 yrs · Bengaluru, Karnataka, India · Hybrid

Hcl technologies

Sr Technical Lead

Oct 2021 – Apr 2024 · 2 yrs 6 mos

Experience and hands-on working knowledge on Hadoop tools like Sqoop, Hive, Spark, pyspark, scala.
Strong analytic skills related to working with unstructured datasets.
Experience with distributed (multi-tiered) systems, algorithms, and relational databases.
Experience with Spark, Scala, and integration of data from multiple data sources - Apache Spark, RDD API, SQL Data Frame, Streaming, query tuning and performance optimization.
Experience with NoSQL databases, such as HBase, Elastic.
Data modeling, architecture, and management using Enterprise Architecture and Data Governance on Hadoop clusters
Knowledge of various ETL techniques and frameworks.
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
Experience supporting and working with cross-functional teams in a dynamic environment.
Familiar with Agile or other rapid application development methods.
Looks proactively beyond the obvious for continuous improvement opportunities.
High energy, demonstrated willingness to learn new technologies, and takes pride in how fast they develop working software.