Likhith Bhargav
@likhithbhargav
Data engineer delivering scalable ETL pipelines, real-time streaming, and actionable analytics across cloud platforms.
United StatesWhat I'm looking for
I am a data engineer with three years of experience designing scalable ETL/ELT pipelines, automating cloud-based workflows, and delivering end-to-end analytics across SaaS, finance, consulting, and research domains. I have practical, production-grade experience with Python, SQL, Apache Airflow, dbt, and Power BI, and I routinely reduce reporting latency and improve data reliability through cross-functional Agile collaboration.
I have built REST API and streaming ingestion solutions (Kafka), implemented data quality monitoring that achieved 99.5% SLA adherence, and developed self-service BI dashboards that cut ad-hoc requests by 60%. My work spans AWS, Azure, and GCP environments and includes model development, real-time processing, and audit-ready data pipelines that enable faster, data-driven decisions.
Experience
Work history, roles, and key accomplishments
Built a Python Dash app and automated Excel-based valuation workflows to save 12+ hours/week; applied Monte Carlo simulations to stress-test assumptions and improved financial projection reliability. Streamlined structured data ingestion into AWS S3, reducing spreadsheet dependency by 50% and enabling audit-ready traceability.
Data Engineer Intern
HashiCorp
Sep 2024 - Jan 2025 (4 months)
Designed and deployed ELT pipelines with Apache Airflow to ingest REST API data into Snowflake, reducing pipeline errors by 40% and improving data freshness. Delivered self-service Power BI dashboards that cut ad-hoc data requests by 60% and implemented Python/dbt monitoring to achieve 99.5% SLA adherence.
Data Engineer Intern
State Street Associates
Jun 2024 - Aug 2024 (2 months)
Engineered predictive models on 2M+ economic records, identifying 3 high-impact predictors and improving model precision by 22%. Built Power BI dashboards on BigQuery, reduced report turnaround by 45%, and automated ETL with Airflow/dbt-style SQL to improve runtimes by 60%.
Consultant - Data Engineer
Grant Thornton Bharat LLP
Mar 2022 - Jun 2023 (1 year 3 months)
Engineered scalable ETL pipelines using AWS Glue/S3/EC2 and advanced SQL to reduce processing time by 35% and enable real-time portfolio analytics on 5M+ weekly records. Integrated Kafka with Glue for near-real-time events, lowering pipeline latency by 40% and feeding 10+ executive Tableau dashboards.
Data Engineer Intern
Wipro
Feb 2021 - Feb 2022 (1 year)
Designed data ingestion workflows with Python, SQL, and Azure Synapse to accelerate reporting cycles by 40% and improve data availability across 5+ business units. Optimized stored procedures and views to reduce report generation time by 30% and deployed Flink for near-real-time log processing, lowering latency by 35%.
Education
Degrees, certifications, and relevant coursework
Brandeis International Business School
Master of Science, Business Analytics
2023 - 2025
Grade: 3.53
Master of Science in Business Analytics (STEM) completed with a GPA of 3.53; focused on data engineering, analytics, and applied machine learning for business decisioning.
BMS College of Engineering
Bachelor of Engineering, Information Science
2018 - 2022
Grade: 3.70
Bachelor of Engineering in Information Science completed with a GPA of 3.70; coursework and projects covered software engineering, data systems, and analytics.
Tech stack
Software and tools used professionally
Availability
Location
United StatesAuthorized to work in
Job categories
Skills
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