Shaik Shafi

Data Engineer

Pamarru, Andhra Pradesh, India1 yr 4 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Hands-on experience in building scalable data pipelines.
Proficient in SQL, Python, and cloud technologies.
Passionate about Data Engineering and continuous learning.

Stackforce AI infers this person is a Data Engineer specializing in cloud-based data solutions and scalable data integration.

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Skills

Core Skills

Data EngineeringCloud ComputingData Warehousing

Other Skills

SQLMicrosoft AzurePythonAzure Data FactorySnowflakeAWSResearchAnalytical SkillsPrompt EngineeringGenerative AI DevelopmentAmazon Web Services (AWS)DatabricksFirebaseFull-Stack DevelopmentSoftware Solution Development

About

I am currently working as an Analyst Trainee at Cognizant with hands-on experience in SQL, Python, Snowflake, Azure Data Factory, Databricks, and AWS. I have built end-to-end data pipelines and ETL workflows through training and project-based learning, focusing on scalable data integration. I have worked on projects involving Snowflake ELT pipelines, Azure data ingestion, and Databricks-based processing, applying concepts such as incremental loading and performance optimization. I also have a foundational background in application development using Flutter, Firebase, REST APIs, HTML, CSS, and PHP, enabling a broader understanding of data-driven systems. I am passionate about Data Engineering and continuously learning cloud and big data technologies, seeking opportunities to build efficient and scalable data solutions.

Experience

1 yr 4 mos

Total Experience

8 mos

Average Tenure

1 yr

Current Experience

Cognizant

Analyst Trainee

Jun 2025 – Present · 1 yr · Chennai · On-site

> Gained hands-on experience in building and optimizing Azure Data Factory (ADF) pipelines for data ingestion into ADLS Gen2, Azure SQL Database, Snowflake, and AWS S3 through guided training projects
> Worked on end-to-end data workflows including data validation, mapping data flows, and pipeline orchestration for analytics use cases
> Applied SQL, Python, and basic Spark transformations to process and prepare datasets for analytics and reporting
> Developed understanding of Snowflake data warehousing concepts, including data loading, transformations, and query optimization techniques
> Implemented incremental data loading strategies to improve pipeline efficiency in simulated environments
> Worked with cloud-based data platforms across Azure and AWS, supporting scalable data integration workflows
> Collaborated in Agile-based training environments, participating in sprint discussions, documentation, and pipeline monitoring exercises

SQLMicrosoft AzurePythonData EngineeringCloud Computing

Pinkmoon technologies

Junior Software Engineer(Intern)

Mar 2023 – Jul 2023 · 4 mos · Vijayawada, Andhra Pradesh, India · Remote

Involved in daily stand-up meetings, sprint planning, and other Agile ceremonies to ensure project milestones were met. Researched and implemented solutions to software challenges under the guidance of experienced developers.

ResearchAnalytical Skills