---
title: "Manas Ranjan Sahu - Data Analytics Consultant in Bangalore Urban | Tal"
description: "Meet Manas Ranjan Sahu, Analytics Engineer & Data Consultant | dbt, Snowflake, SQL, Python | Automated ELT Pipelines | Power BI (DAX) | 3+ YOE based in Bangalore Urban. AI stack includes claude code, codex, and gemini. Explore public work links including github."
image: "https://tal.club/meet/manas-ranjan-sahu/share-image"
---

# Manas Ranjan Sahu on Tal

## Headline

Analytics Engineer & Data Consultant \| dbt, Snowflake, SQL, Python \| Automated ELT Pipelines \| Power BI \(DAX\) \| 3\+ YOE

## About

Data Professional with 3\+ years of experience designing scalable data architectures, automated ELT workflows, and high\-performance reporting layers\. Specialized in transforming raw operational data into analytical schemas using dbt Core, Snowflake, and SQL Server/PostgreSQL\. Proficient in building dimensional models \(Star Schemas / Medallion Architecture\), optimizing query execution plans across 1M\+ row datasets, and delivering executive Power BI solutions with custom DAX\. Core Technical Stack: • Data Modeling & Transformation: dbt Core, Dimensional Modeling \(Kimball\), Star Schema, Medallion Architecture \(Bronze/Silver/Gold\) • Warehousing & Databases: Snowflake, PostgreSQL, SQL Server, Query Optimization, Partitioning & Indexing • Programming & Pipeline Automation: Python \(Pandas/NumPy\), Linux CLI/WSL, Git/GitHub, REST API Ingestion • Business Intelligence: Power BI \(DAX, Power Query\), Data Storytelling, KPI Scorecards Open to Analytics Engineer and Data Analytics Consulting opportunities\.

## Location

Bangalore Urban

## AI stack

claude code

codex

gemini

github copilot

Microsoft Copilot

## Work experience

Data Analytics Consultant at Maa Kali Recovery Service, SNR & SPS Automobiles, Jul 2023 \- Aug 2026 · 3 yrs 2 mos, Baleshwar, • Processed 100\+ daily operational records exported from Tally and Excel across 3 business units, standardizing schemas and eliminating entry errors prior to centralized database ingestion\. • Structured and loaded cleaned transactional data into a SQL Server database, cutting daily operational consolidation time from 2\.5 hours down to under 30 minutes\. • Wrote SQL queries using CTEs, window functions, and aggregations to generate weekly reports tracking total revenue, net margins, and top 10 best\-selling parts across 500\+ active inventory SKUs\. • Built weekly accounts receivable tracking models to isolate overdue customer balances, stabilizing average credit settlement cycles within 14 to 30 days\. • Designed monthly Power BI dashboards featuring dynamic DAX KPIs to track month\-over\-month \(MoM\) revenue growth, category\-wise profit margins, and paid vs\. unpaid transaction ratios\. • Analyzed parts turnover trends to identify 25\+ slow\-moving salvage components, enabling owners to clear dead\-stock and prioritize high\-demand inventory

## Education

BCA, Computer Science, Bhadrak Autonomous College

## Public links

- github: https://github\.com/Manas\-Sensei

[View the original profile](https://tal.club/meet/manas-ranjan-sahu)

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