ANISETTI SAI KRISHNA
Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineer with 4+ years in Snowflake, ETL, and Data Warehousing.
Dynamic and detail-oriented Snowflake Developer with over 4 plus years of experience, specializing in data warehousing for airline industry projects. Proficient in building and optimizing ETL pipelines, analyzing passenger and baggage data, and supporting business insights through Snowflake, PL/SQL, and Power BI. Proven ability to deliver scalable data solutions that enhance operational visibility and improve decision-making. Seeking to apply technical expertise to impactful analytics initiatives in a challenging development environment.
Sri Vasavi Engineering College
Bachelor of Technology
N/A – June 30, 2022
STAR ALLIANCE
Senior Data Engineer
November 1, 2025 – Present
India
STAR ALLIANCE
Data Engineer
February 1, 2022 – October 1, 2025
India
ETL Data Pipeline Using Snowflake
June 22, 2026 – Present
Developed an ETL Data Pipeline using Snowflake by creating file formats, external stages, and integrating AWS S3 buckets for cloud-based data ingestion. Implemented Snowpipe for automated and continuous loading of files from S3 into the Snowflake staging layer, enabling near real-time data processing. Created Streams on top of staging tables to capture incremental data changes and support downstream data movement into upstream/transformed layers. Performed data validation, transformation, and monitoring activities to ensure data accuracy, consistency, and efficient pipeline performance.
KPI Reporting System
June 22, 2026 – Present
Developed a KPI Reporting System using Snowflake and Power BI by designing KPI reporting tables and implementing transformation logic for business analytics requirements. Built and optimized SQL queries in Snowflake to process and transform large datasets efficiently for reporting purposes. Created interactive Power BI dashboards for business stakeholders to monitor key performance indicators, trends, and operational metrics. Improved dashboard performance through query optimization and data modeling techniques while ensuring data consistency, accuracy, and reliable reporting across multiple business reports.
Dockerization
June 22, 2026 – Present
Implemented Dockerization of a Python application on a Linux server to streamline deployment, improve scalability, and ensure environment consistency across development and production environments.
Snowflake Snow Pro Core Certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's project diversity, including ETL pipelines, KPI reporting, and Dockerization, shows a broad skill set relevant to modern data engineering practices. The experience in the airline industry suggests domain-specific knowledge which can be valuable. The progression from Data Engineer to Senior Data Engineer at the same company indicates loyalty and growth potential. The skills listed (Snowflake, Python, PL/SQL, Power BI, AWS, Linux, Docker, ETL, Data Warehousing) are highly relevant to a Data Engineer role, indicating a good cultural and technical fit.
Soft Skills & Operational Fit
The candidate's experience as a Senior Data Engineer, including leading a team and streamlining workflows, suggests strong leadership and operational efficiency skills. Participation in Agile ceremonies indicates adaptability and collaborative potential. The awards received (On the Spot, Star Performer, Engineering Excellence) further support a positive work attitude and commitment to quality.