Mahesh Tammisetty

VP of Engineering

United States7 yrs 3 mos experience

Key Highlights

9 years of experience in data engineering.
Expertise in Azure cloud technologies.
Proven track record in data migration projects.

Stackforce AI infers this person is a Cloud Data Engineer with expertise in SaaS and data engineering solutions.

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Skills

Core Skills

Data EngineeringAzure Data EngineeringCloud Data EngineeringAws Technologies

Other Skills

AWS LambdaAgile MethodologiesAmazon DynamodbAmazon EC2Amazon RedshiftAmazon S3Amazon Web Services (AWS)Apache KafkaApache SparkAzure Data FactoryAzure Data LakeAzure DatabricksAzure DevOps ServicesCloud ComputingData Migration

About

As Azure Data Engineer having around 9 years of experience consulting with retail enterprises to deliver reliable data-driven solutions, on-premises or/and on the cloud. Highly skilled in areas of data ingestion, integration, storage and processing at scale using distributed computing techniques. Competencies: Data Engineering, Azure Cloud, Azure Data factory, Azure Databricks, Azure Synapse, Hadoop, Spark, Spark SQL,Azure Devops.

Experience

Ltimindtree

Data Specialist

Apr 2025 – Present · 11 mos · United States · On-site

Siri consultancy services inc.

Software Engineer

Oct 2024 – Mar 2025 · 5 mos · United States · Hybrid

Nexgen tech solutions

Senior Cloud Data Engineer

Dec 2023 – Sep 2024 · 9 mos · Bengaluru, Karnataka, India · Remote

Python (Programming Language)Azure DatabricksSQL AzurePySparkAzure Data FactoryAzure Data Lake+3

Ey

Senior Cloud Data Engineer

Dec 2021 – Dec 2023 · 2 yrs · Hyderabad, Telangana, India · Remote

Azure Data LakeStored ProceduresPySparkPython (Programming Language)Data EngineeringSQL Azure+12

Cognizant

Cloud Data Engineer

Jul 2021 – Dec 2021 · 5 mos · Bangalore Urban, Karnataka, India · On-site

Amazon EC2Amazon S3TerraformAmazon RedshiftAWS LambdaPython (Programming Language)+3

Capgemini

Azure Data Engineer

Oct 2018 – Jun 2021 · 2 yrs 8 mos · Bangalore Urban, Karnataka, India · On-site

Azure Data Engineer in responsible for migrating a large, global, multi-function (Supply Chain, Marketing, HR & Finance) Data-Warehouse, from on-premise legacy system to a modern cloud-based Data-Lake solution on Microsoft Azure. Responsible for designing and delivering the data platform. Ingest structured/unstructured data from heterogenous information systems; cleaning, preparing and summarizing data through numerous reliable, robust and secure ETL pipelines that keeps a quarter peta-byte DWH up to date.