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vineeth_v

Vineeth

@vineeth_v

Data Engineer dbt, SQL, Python, Data Pipelines and AI Analytics

Indien
Englisch, Hindi, Telugu
Einige Informationen werden in englischer Sprache angezeigt.
Über mich
Data engineer (4+ yrs, IIT BHU, ex-OYO) building dbt, SQL and Python pipelines on Snowflake, BigQuery, Redshift and AWS, plus Metabase and Looker Studio dashboards and AI on data (text-to-SQL, MCP). I've run a ~100-model dbt project with Dagster and data-quality monitoring, built API ingestion from AppsFlyer, Google Ads and Meta Ads, and built LTV and cohort models for marketing teams. You get tested, documented work your team can trust and extend. Message me with your data setup and I'll suggest the right approach before you order. ... Mehr lesen

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vineeth_v
Vineeth
offline • 
Durchschnittliche Antwortzeit: 1 Stunde

Meine Dienstleistungen

Data Warehouse
I will set up or audit your dbt project with tests, docs and ci
Ab100 $ / ProjektWeitere Details

Arbeitserfahrung

Delta_Exchange

Data Engineer

Delta Exchange • Vollzeit

Aug 2024 - Present • 2 yrs 2 mos

Build and maintain the data pipelines and warehouse models behind product, trading and business reporting. Design ELT workflows in SQL and Python, model raw event and transaction data into clean, tested tables with dbt, and orchestrate daily runs with scheduling, retries and alerting. Own data-quality checks and freshness monitoring so downstream dashboards and analyses can be trusted. Partner with analysts, product and marketing teams to turn business questions into reliable datasets. Stack: SQL, Python, dbt, AWS (S3, Glue, Lambda), Redshift, Airflow/Dagster.

OYO

Data Analyst

OYO • Vollzeit

Jan 2022 - Aug 2024 • 2 yrs 7 mos

Delivered analytics for business and operations teams in a high-volume hospitality marketplace. Wrote complex SQL and Python analyses on bookings, pricing and customer behaviour; built KPI dashboards and recurring reports used by leadership; ran funnel, cohort and retention analyses to find conversion and repeat-booking drivers; and handled ad-hoc deep dives that fed pricing, supply and growth decisions. Stack: SQL, Python (pandas), Excel, BI dashboards.