Data Engineer ~4 years of experience

Krisi Jain makes data useful.

Data engineer with almost four years of experience building workflows that turn messy data into something people can actually trust and act on.

your data: raw → structured → useful
get in touch github  → linkedin  →
currently Exploring new opportunities and upskilling in modern data stack tools.

work history

PwC India
Aug 2022 – Apr 2026
2× promoted
Associate (Data Engineer)
Apr 2025 - Apr 2026
Built and maintained real-time and batch pipelines processing 1M+ customer consent records for a centralised marketing permissions platform, ensuring accurate opt-in/opt-out tracking across systems at scale.
PythonSQLAWSPySparkAzure Databricks
↑
Senior Analyst (Data Engineer)
Apr 2024 - Mar 2025
Developed data pipelines for a cloud cost optimisation platform, analysing large-scale compute usage data to identify efficiency opportunities and support informed infrastructure decisions.
PythonSQL
↑
Analyst (Data Engineer)
Aug 2022 - Mar 2024
Contributed to a low-code data integration platform, building core pipeline components that enabled users to create and manage ETL workflows through a visual interface.
PythonSQL

projects & work

work in progress
FundFlow - Mutual Fund Analytics Pipeline
An end-to-end batch data pipeline ingesting historical NAV data across 300+ Indian equity mutual funds from AMFI. Data loaded into BigQuery, transformed using dbt, and served via a live Streamlit dashboard.
FundFlow architecture diagram
Python BigQuery dbt Streamlit GCP
🔗 GitHub (coming soon)

skills & tools

languages
PythonSQL
data engineering
Apache SparkPySparkApache KafkaETL/ELTData ModelingData Warehousing
cloud
AWSAzure DatabricksBigQuery
orchestration & devops
AirflowdbtGitGitHub

education

B.Sc. Mathematics
St. Xavier's College, Mumbai
2019 – 2022

A maths degree taught me to think in systems, find patterns in noise, and break down complex problems, which turns out to be most of what data engineering is.

let's talk

Always happy to connect, exchange ideas, and chat about data, careers, technology, or anything in between.

say hello  → linkedin  → github  →