Lokesh Aithagani

Data Engineer

Hyderabad, Telangana, India2 yrs 1 mo experience

Key Highlights

Expert in building scalable ETL pipelines.
Strong analytical and problem-solving skills.
Proven ability to optimize data processing workflows.

Stackforce AI infers this person is a Data Engineer specializing in cloud-based ETL solutions for SaaS applications.

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Skills

Core Skills

Data EngineeringEtl Pipeline Development

Other Skills

AlgorithmsApache KafkaApache SparkAzure Blob StorageAzure Data FactoryAzure Data LakeAzure DevOpsBig DataBootstrapC++Cascading Style Sheets (CSS)CommunicationData StructuresDatabricksDocker

Experience

2 yrs 1 mo

Total Experience

2 yrs 1 mo

Average Tenure

2 yrs 1 mo

Current Experience

Infosys

Specialist programmer

May 2024 – Present · 2 yrs 1 mo · Hyderabad, Telangana, India

Role: Data Engineer – CAPS (Commercial Presales and Retention)
Designed and managed end-to-end ETL pipelines using Azure Data Factory, ensuring efficient data flow across systems
Processed large-scale datasets with Azure Databricks and PySpark, optimizing transformations for better performance and reduced runtime
Integrated data from various sources including Azure Blob Storage and Data Lake Storage, focusing on accuracy and consistency
Automated and scheduled complex workflows, improving pipeline reliability using ADF triggers and monitoring features
Actively involved in debugging, performance tuning, and deployment of production-ready code via Azure DevOps
Collaborated with cross-functional teams to deliver data solutions that support commercial presales and customer retention efforts
Key Tools & Tech: PySpark, Azure Data Factory (ADF), Azure Databricks, SQL, Azure Blob Storage, SSMS, Azure DevOps