B SHARATH KUMAR NAIK

DATA & BI, WITH A POINT OF VIEW

Hi, I’m B Sharath Kumar Naik. I build the layer between messy systems and clear decisions.

Data Engineer, BI Consultant and Data Analyst with 4+ years across cloud warehouses, self-serve analytics and governed reporting. I turn operational data into decisions people can trust.

Based in India4+ years in the signal
Portrait of B Sharath Kumar Naik
B SHARATH KUMAR NAIK
01 / MOST RECENT ROLEROCHE DIAGNOSTICS

BI Consultant
March 2026 — October 2026
(Contractual)

Payroll: U3Infotech (Payroll)↗
02 / WORKING ACROSSCloud warehouses, BI platforms
& the code between them.
Snowflake
dbtdbt
TTableau
TTableau Prep
Power BIPower BI
Looker
ΣSigma
MLLookML
LSLooker Studio
Python
NumPy
pandas
BigQuery
Databricks
SAP
PostgreSQL
MySQL
GCP
TFTrifecta
PQPower Query
LIVE SIGNAL99.5%

refresh success
within a 2-hour SLA

QUERY PERFORMANCE35%

faster query performance

GOVERNED USERS100+

working from one source of truth

01 — 03THE SIGNAL BOARDStack, role, proof
THE RECORD SO FAR
35%faster query performance
90%fewer manual report requests
50+dashboards migrated
100%on-time project delivery

02 / SELECTED SYSTEMS

Evidence with a point of view.

The interesting part is rarely the dashboard. It is the architecture, governance and translation work that makes the dashboard trustworthy.

01WAREHOUSE / GOVERNANCE / BI

Roche Diagnostics India · BISTRO

One source of truth for national sales.

Architected a centralized Snowflake warehouse integrating CRM and SAP SD, FI and MM data; then shaped the fact/dimension layer and Tableau delivery around the territory hierarchy.

Discuss this kind of system ↗
35%query-performance lift
8+Tableau dashboards
100+secure BI users
90%fewer manual requests
SnowflakeTableauSAPRLS / RBACCRM
02MUSIC / MODELING / PERFORMANCE

Sony Music Orchard

From streaming data to sharper signals.

Engineered ELT pipelines with dbt and Snowflake SQL, built LookML models for Spotify and Apple Music data, and migrated 50+ dashboards to Sigma with logic and visual parity.

Ask about the modeling layer ↗
40%data-model optimization
95%+reporting accuracy
50%faster analysis
dbtSnowflakeLookerSigma
03EDUCATION / NON-PROFIT / ACCESS

KIPP Baltimore · KIPP Capital · North Lawndale

Making actionable insight easier to reach.

Designed, developed and published BI dashboards while consolidating SQL Server and Snowflake sources into central platforms for cross-functional education and non-profit teams.

Talk about delivery at scale ↗
20+dashboards shipped
99%data consistency
80%faster insight access
Power BITableauBigQueryGCP

03 / CAREER SIGNAL

A trajectory built on translation.

From cloud pipelines to the room where a business question becomes a governed metric.

MAR 2026 — OCT 2026

BI Consultant Roche Diagnostics India Pvt Ltd

Contractual · Payroll: U3Infotech (Payroll)

Owned the BI layer for BISTRO as sole BI developer: architecture, automated refresh, territory-level security, reconciliation and stakeholder support for sales analytics.

SnowflakeTableau PrepRLS100+ users
DEC 2024 — FEB 2026

Data Analyst Synergy Technology Service

Clients: NRAI · Sony Music Orchard · Shooter-Insta

Moved between finance, operations and music performance analytics, pairing delivery documentation with modeling and migration work.

dbtLookMLSigmaBRD / FRD
AUG 2022 — NOV 2024

Associate Software Engineer Inspiroz IT Services

Clients: KIPP Baltimore · KIPP Capital · North Lawndale College Prep

Built the end-to-end data path: extraction, transformation, cloud ingestion, dashboard development, deployment and UAT with cross-functional teams.

PythonBigQueryGCPTableau

04 / THE TOOLKIT

Fluent across the stack.

The tools change. The standard stays: clean models, fast pipelines, governed access and decisions people trust.

01

Data engineering
that earns its place.

ELT / ETL, dimensional modeling, pipeline automation and performance optimization across cloud warehouses and operational sources.

ENGINEERING / WAREHOUSE

SnowflakedbtAdvanced SQLPythonDatabricksBigQueryMySQLSQL ServerPostgreSQL

BI / VISUALIZATION

TableauPower BILookerLookMLSigma ComputingLooker StudioTableau PrepPower Query

GOVERNANCE / DELIVERY

RLS / RBACData LineageData QualityData CleansingUATAgile / ScrumSprint PlanningUser StoriesBRD / FRD / SRS / RTMJiraConfluence

MODELING / AUTOMATION

PandasNumPyTableau PrepTrifectaPower QueryFact / DimensionPipeline AutomationPerformance Optimization

DATA SOURCES / CLOUD

DuckDBSAP SD / FI / MMCRMExcelGCPCloud FunctionsSnowflake CloudTableau Cloud

DELIVERY / COLLABORATION

ClickUpConnectWiseChatGPTGitHub CopilotClaudeGeminiMonday.comStakeholder Management
SNOWFLAKE✳TABLEAU✳PYTHON✳DBT✳LOOKER✳BIGQUERY✳SNOWFLAKE✳TABLEAU✳PYTHON✳DBT✳LOOKER✳BIGQUERY

05 / THE FOUNDATION

Built with a civil engineer’s eye for structure.

Before data systems, there was engineering. That grounding still shows up in how Sharath thinks about dependencies, load and what happens when a system meets the real world.

EDUCATION
B.Tech · Civil Engineering

Kuppam Engineering College 2016 — 2019

EARLIER STUDY
Diploma · Civil Engineering

Polytechnic College, Madanapalli 2012 — 2015

CERTIFICATION
Tableau 2022 A-Z · Hands-on Tableau Training for Data Science

Issued May 2023

Master Tableau in Data Science · Issued May 2022

Python Developer · QUASTECH (Software Development, Digital Marketing, Outsourcing, Recruitment)

Issued May 2022

LANGUAGES
English · Telugu · Hindi

Professional · Native · Conversational

06 / OPEN CHANNEL Available for the right problem

Have a data problem
worth making clear?

Let’s talk about a warehouse, dashboard layer or analytics workflow that needs to work harder.

Start a conversation ↗