My Experience?

Avinash khanderi

6+Years Of Experience

My Experience

Avinash Khanderi’s professional journey spans over six years of excellence in data engineering, during which he has collaborated with global leaders like Walmart, VISA, IBM, and Amazon. His expertise lies in designing and implementing scalable data architectures, streamlining workflows, and driving cost-effective solutions.

As a Senior Data Engineer at Walmart, Avinash Khanderi has delivered impactful solutions by optimizing Spark-based ETL pipelines in Scala, managing data workflows on GCP, and improving query performance through advanced SQL and Scala. He has re-engineered infrastructure with Kubernetes and Terraform, implemented Airflow for workflow orchestration, and ensured data security with robust access controls. Avinash’s efforts have driven operational cost savings, enhanced predictive model accuracy, and streamlined deployments, while his mentorship of junior engineers has strengthened team capabilities and improved project timelines.
As a Senior Data Engineer at VISA, Avinash Khanderi optimized Databricks workflows using PySpark and Scala, streamlined pipelines with Azure Data Factory and Airflow, and led a cost-saving migration to a Data Lake. He enhanced data governance, developed PowerBI models, improved data integrity with Hive and PostgreSQL, and utilized AWS S3 for efficient storage, driving better performance and decision-making.
As a Data Engineer at TechPlus Solutions, Avinash Khanderi migrated legacy data to HDFS, developed PySpark applications, and created interactive dashboards, saving time and improving accessibility. He utilized Tableau for visualization, AWS Databricks for ML workloads, and Amazon S3 for secure storage. Avinash also leveraged Hive for querying large datasets and maintained ETL processes using Informatica and SSIS, enhancing efficiency and decision-making.
At IBM, Avinash implemented Hadoop and Spark solutions, automated reporting with SQL and Python, optimized inventory costs, and enhanced predictive analytics using AWS SageMaker and Kinesis. He designed cost-efficient AWS architectures, conducted data analysis, and visualized insights with R and Tableau.
At Amazon, Avinash conducted advanced data analysis using SQL, Tableau, and PL/SQL, focusing on inventory control and sales profitability. He created SAS datasets, developed reports, and streamlined data integration with SSIS and T/SQL across heterogeneous sources. His work enhanced business intelligence and network data insights.

My Achievements

Academic Qualifications

MS in Information Studies

Trine University, Michigan, United States.

MS in Engineering Management

Nottingham Trent University

Mechanical Engineering

Vellore Institute of Technology

IBDP

DRS International
School

Avinash Khanderi

Senior Data Engineer

Avinash Khanderi is a Senior Data Engineer with over six years of experience in cloud computing, big data, and scalable architecture design. He has worked with leading organizations like Walmart, VISA, and IBM, delivering impactful data solutions that optimize processing times, reduce costs, and enhance performance. Avinash is proficient in a range of tools and platforms, including Azure, AWS, GCP, Databricks, and Spark, which allow him to build efficient, data-driven systems.

With certifications in Databricks, Microsoft Azure, and Power BI, Avinash combines technical expertise with a passion for mentoring and delivering innovative solutions. His work focuses on building robust data pipelines, automating workflows, and ensuring data security, making him a valuable asset to any organization.

My Expertise

Cloud Computing

Cloud Computing

Proficient in Azure, AWS, and GCP, delivering scalable and efficient data solutions.
Big Data Processing

Big Data Processing

Expertise in Spark, Databricks, Kafka, and other big data tools to manage datasets.
Data Visualization

Data Visualization

Experience in creating actionable dashboards using Power BI and Tableau.
Data Engineering

Data Engineering

Skilled in building and optimizing ETL pipelines, ensuring seamless data flow.
Programming & Scripting

Programming & Scripting

Advanced knowledge of Python, Scala, and SQL for data manipulation and analysis.
DevOps & Automation

DevOps & Automation

Proficient with Kubernetes, Terraform, and CI/CD pipelines to streamline deployments.

Testimonials

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