Available for opportunities · London, UK

Data Engineer
& Analyst.

Hi, I'm Bharath Sattivelou. I build data pipelines, craft analytical insights, and turn raw datasets into decisions that matter — from Spark ETL to Power BI dashboards.

BS

Bharath Sattivelou

Data Engineer · IT Consultant · London, UK

3+
Years Exp.
4
Roles
1
Publication
5+
Certifications
Python Power BI Spark SQL AWS

Turning complexity into clarity.

I'm a Data Engineer and Analyst currently based in London, with hands-on experience building ETL pipelines, engineering data infrastructure, and delivering business intelligence that informs real decisions.

My journey spans big data engineering at Tata Consultancy Services, performance-driven marketing analytics, and IT consultancy — giving me a rare breadth across the full data lifecycle.

With an MSc in Big Data Analytics and a foundation in Statistics, I combine academic rigour with practical engineering instincts. I thrive in environments where data has a real impact.

🔧

Data Engineering

ETL pipelines with Apache Spark, Hadoop, and MySQL. End-to-end data warehousing and quality validation.

📊

Analytics & BI

Power BI dashboards, DAX modeling, and statistical analysis to surface actionable KPIs.

🚀

Marketing Analytics

Data-driven campaigns that increased brand visibility by 40% using Google & Facebook Ads.

🇬🇧

Based in London

UK Full Driving Licence. Available for on-site, hybrid, or remote roles across the UK.

Where I've built things.

A track record across data engineering, analytics, and IT consulting in three countries.

Feb 2024 — Present
IT Consultant
Alphaveta Ltd · Rainham, UK
  • Supported IT operations with data analysis and reporting using Excel and Power BI, aiding in strategic decision-making.
  • Built ETL pipelines to ingest and transform large datasets from MySQL into actionable data products.
  • Performed query tuning and database optimisation to maximise resource utilisation.
Aug 2022 — Dec 2023
Data Engineer
NETS Banking, Tata Consultancy Services · Bengaluru, India
  • Achieved efficient data processing through complex transformations and aggregations in Apache Spark.
  • Extracted, transformed, and loaded data across diverse sources using Hadoop technologies.
  • Conducted data quality checks and validation tests to ensure clean migration into data warehouses.
Jan 2022 — Present
Marketing Analyst
SS Traders Pyt Ltd · Ballarat, Australia (Remote)
  • Executed data-driven campaigns that increased brand visibility by 40% and boosted customer engagement.
  • Optimised Google Ads and Facebook Ads to target local customers and drive sales.
  • Built Power BI dashboards and Excel reports for ongoing business performance insights.
  • Designed social media graphics with Canva and improved retention via WhatsApp promotions.
Mar 2022 — Jul 2022
Data Analyst Intern
NETS Banking, Tata Consultancy Services · Bengaluru, India
  • Developed and maintained Power BI visualisations to communicate KPIs and trends to stakeholders.
  • Executed data cleansing, transformation, and modelling using Power Query and DAX functions.
  • Conducted thorough data exploration to identify patterns, trends, and improvement opportunities.

My technical toolkit.

From data infrastructure to visualisation and beyond — here's what I work with.

⚙️

Programming

Python R Airflow Linux
🗄️

Databases & Cloud

Microsoft SQL Server MySQL AWS
📈

BI & Visualisation

Power BI Tableau SAS Excel DAX
🔁

Data Engineering

Apache Spark Hadoop ETL Pipelines Data Warehousing
🧠

Analytics & ML

Statistical Analysis CNN / OpenCV Predictive Modelling Power Query
🤝

Interpersonal

Communication Attention to Detail Problem Solving Time Management

Things I've built & researched.

Projects that showcase my technical depth in machine learning and statistical analysis.

Computer Vision · ML

Facial Emotion & Gender Detection

Real-time detection of human facial emotion and gender using a Convolutional Neural Network (CNN) classifier integrated with OpenCV and Python. Achieved a classification accuracy of 57.2% for facial expressions across multiple emotion classes.

Python CNN OpenCV Deep Learning
Data Visualisation · R

Covid-19 Global Trend Analysis

Developed a dynamic R Shiny dashboard with multiple visualisations — charts, a correlation heatmap, and matrix — exploring the relationship between COVID-19 case trends across countries and weather conditions.

R Shiny Data Viz Correlation Analysis
Forage Simulation · Power BI

PwC HR Gender Balance Dashboard

Created Power BI dashboards for PwC Switzerland's virtual experience programme, communicating KPIs and analysing HR data to surface root causes of gender imbalance at executive management level.

Power BI KPI Analysis HR Analytics
Forage Simulation · Accenture

Social Media Content Trend Analysis

Cleaned, modelled, and analysed 7 datasets in Excel for a hypothetical social media client at Accenture, revealing content trends to drive strategic decisions. Delivered findings via a PowerPoint presentation.

Excel Data Cleaning Storytelling

Academic foundations.

A blend of statistics and big data that underpins everything I build.

2020 — 2022

M.Sc Big Data Analytics

St. Joseph's College · Bengaluru, India
74%

Focus on large-scale data processing, machine learning, and analytics pipelines.

2017 — 2020

B.Sc Statistics

Loyola College · Chennai, India
70%

Core foundation in statistical modelling, probability, and quantitative analysis.

IEEE Research

IEEE · 2024

Citrus Leaf Disease Detection using various Deep Learning Architectures

Sivakannan Subramani, Bharath Sakthivel, Nidhi Teresa George, Thenis Amal Raj · India — IEEE, 2024

Credentials

📊

Data Visualization

Kaggle

🗃️

Advanced SQL

Kaggle

📈

Power BI for Beginners

Simplilearn

📉

Business Analytics & Intelligence (Excel)

Simplilearn

🔐

Google Cybersecurity Professional Certificate

Coursera · In Progress

Let's build something.

Whether you have a role, a project, or just want to talk data — I'd love to hear from you.

✉️
Email
bharath.sattivelou@gmail.com
🔗
LinkedIn
linkedin.com/in/bharath20
📍
Location
London, United Kingdom
📞
Phone
+44 7760 980601