v.VARADSINGH
VARADSINGH PARDESHI / PUNE, INDIA

Data Engineer.
Technical Leader.

Making data work better.

Hi, I’m Varadsingh Pardeshi.
13 years building reliable data systems, leading enterprise migrations, and automating work that slows teams down.

Pune, India / Currently at Citi Bank
varad@portfolio: ~

❯ cat profile.json

{
  "name": "Varadsingh Pardeshi",
  "focus": "Data engineering",
  "experience": "13 years",
  "approach": [
    "Build reliable pipelines",
    "Automate the repetitive",
    "Lead with impact"
  ]
}
All systems operationalPython / SQL / Cloud
EXPERIENCE ACROSS
01 / THE BIG PICTUREBuilt on experience. Driven by impact.

Good engineering.
Real outcomes.

13 years connecting the dots between data, people, and business.

My work spans data engineering, ETL, data warehousing, and BI reporting across eight employers. From enterprise migrations to cloud pipelines, I bring a practical focus: dependable delivery, less manual work, and data people can trust.

13 yrs

IT & data experience

7 FTE

Saved through automation at IBM & Capgemini

60%

Reduction in request MTTR at TIAA

8 people

Migration team led at IBM

02 / SELECTED WORKThe challenge. The contribution. The result.

Engineering with
measurable impact.

Three examples of improving how data systems and operations work.

CITI BANKPlatform modernization
100%migration accuracy

Moving ETL from Talend to Python.

Led the successful migration of Talend ETL workflows to Python while supporting Risk and Reporting operations.

Read case study

Challenge

Move existing ETL workflows to Python while preserving the accuracy of the migrated processing.

My contribution

Led the Talend-to-Python ETL migration. In the same role, maintained Python backends and BAU dashboards and delivered additional Oracle migration work.

Approach

Migrated the ETL implementation from Talend to Python. Related initiatives included Apache Ignite-to-Oracle (ORaaS) migration and an end-to-end Python application with API support for Oracle-to-ORaaS migration.

Outcome

The Talend-to-Python migration completed successfully with 100% accuracy, as documented in my resume.

PythonTalendOracleApache Ignite
TIAA GBSProduction operations
60%reduction in request MTTR

Less manual handling. Faster resolution.

Built request-handling automation alongside production ETL support and incident recovery.

Read case study

Challenge

Resolve data incidents and service requests while maintaining daily data loads and managing ETL execution against client SLAs.

My contribution

Built request-handling automation, monitored daily ETL flows, and coordinated recovery from processing delays.

Approach

Automated request handling within the production support workflow. The broader role supported PySpark, DataStage, Oracle, and UNIX jobs, with AWS, Snowflake, and Python in the technology stack.

Outcome

Reduced mean time to resolution (MTTR) for requests by 60% and received appreciation for the automation.

PythonPySparkDataStageOracleUNIX
IBM + CAPGEMINIOperational automation
7 FTEsaved across two separate roles

Making recurring work repeatable.

Automated data profiling at IBM and KPI dashboards at Capgemini using Excel and VBA.

Read case study

Challenge

Recurring data profiling and KPI reporting required manual effort across two distinct roles.

My contribution

At IBM, automated Excel data profiling. At Capgemini, automated KPI dashboards so managers could focus on priority issues.

Approach

Used Excel and VBA to automate recurring profiling and dashboard tasks. These were two separate initiatives, delivered at different employers.

Outcome

Saved 2 FTE at IBM and 5 FTE at Capgemini: a combined 7 FTE across both roles.

ExcelVBAData profilingKPI reporting

Summarized from my resume. FTE = full-time equivalent; MTTR = mean time to resolution.

03 / THE JOURNEYResume PDF

A career built
on moving forward.

Enterprise scale. Hands-on delivery. A constant drive to improve.

01

Citi BankCURRENT

Associate Vice President · Pune

Jul 2025 — Present

Modernizing the data foundations behind risk and reporting.

  • Maintain Python backends and BAU dashboards for Risk and Reporting operations.
  • Led Talend-to-Python ETL migration with 100% accuracy and successful completion.
  • Led Apache Ignite-to-Oracle (ORaaS) migration as part of three migration initiatives.
  • Built an end-to-end Python application with API support to migrate Oracle data to ORaaS.
PythonOracleTalendApache Ignite
02

Snowflake

Senior Cloud Engineer · Pune

Feb 2025 — Jul 2025

Connecting business systems to reliable analytics datasets.

  • Designed and maintained Snowflake pipelines integrating Salesforce and other business systems for multiple clients.
  • Built SQL and dbt transformations for reporting and analytics.
  • Managed integration, monitored performance, and resolved load failures.
  • Earned Snowflake Core Certification.
SnowflakeSQLdbtSalesforce
03

KetteQ

Senior Technical Consultant · Pune

Oct 2022 — Feb 2025

Delivering client migrations and automated cloud integrations.

  • Developed Talend data migration solutions for multiple clients.
  • Automated recurring API calls and scheduled data loads using Mage.
  • Built custom Salesforce pipelines and managed end-to-end integration.
AWSPythonMageClickHouseTalenddbt
04

TIAA GBS

Consultant · Mumbai

Jun 2021 — Oct 2022

Keeping production data moving, with 60% faster request resolution.

  • Supported production ETL jobs using PySpark, DataStage, Oracle, and UNIX.
  • Monitored daily flows and managed execution against client SLAs.
  • Built request-handling automation that reduced mean time to resolution by 60%.
  • Coordinated recovery from processing delays and resolved data incidents.
PySparkDataStageAWSSnowflakePython
05

Deloitte USI

Consultant · Mumbai

Jul 2019 — Jun 2021

Engineering and validating data for healthcare and insurance.

  • Developed end-to-end PySpark and Airflow ETL jobs for a US healthcare provider.
  • Automated daily operations with Python and built a Django ticket management and deployment application.
  • Validated reporting consistency across Cognos and Tableau.
  • Tested AWS ETL and Accounting Sub Ledger applications for a European insurer; automated time-consuming test queries.
PySparkAirflowAWS GlueDjangoPython
06

LTI

Sr. Software Developer · Mumbai

Feb 2018 — Jul 2019

From real-time ingestion to cross-platform ETL migration.

  • Built real-time JSON and XML log ingestion using Kafka and PySpark for a Nordic financial services provider.
  • Maintained DataStage data quality workflows.
  • Migrated Cognos Data Manager builds to DataStage for a French water management company.
  • Coordinated iterative deliveries with a 20-member team and created Oracle activity hierarchies.
KafkaPySparkDataStageOracle
07

Capgemini

Consultant · Mumbai

Oct 2016 — Jan 2018

Turning recurring reporting work into automated insight.

  • Supported DataStage jobs for Sales Performance Management and met all assigned targets.
  • Worked with Teradata as the primary client database.
  • Automated KPI dashboards using Excel and VBA, saving 5 FTE.
DataStageTeradataExcelVBA
08

IBM

Data Specialist · Kolkata

Sep 2013 — Sep 2016

Building a foundation in enterprise data and delivery leadership.

  • Developed DataStage jobs extracting from multiple SAP sources and loading an SAP target.
  • Automated Excel data profiling with VBA, saving 2 FTE.
  • Led an 8-member team delivering migrations with Cransoft DSP and met all migration SLAs.
DataStageSAPCransoft DSPVBA
04 / THE TOOLKITThe right tools. The right foundation.

From source
to possibility.

/01

Data engineering

PythonSQLPySparkDataStageTalendUNIX
/02

Cloud & platforms

AWS S3RedshiftGlueLambdaEC2CloudWatchSnowflake
/03

Pipelines & databases

AirflowdbtMageKafkaOracleSQL ServerTeradataClickHouseJenkins
/04

Analytics & beyond

TableauCognosExcel / VBAHadoopHiveSqoopFlumeRegressionSVMRandom ForestDecision TreeNaïve BayesKNNK-Means
HOW THE PIECES CONNECT

From business systems to usable data.

Representative workflow
  1. 01

    Ingest

    Bring business-system data into the platform.

    Salesforce · APIs · Source systems
  2. 02

    Transform

    Shape raw inputs into useful datasets.

    Python · SQL · PySpark · dbt
  3. 03

    Orchestrate

    Schedule loads and monitor execution.

    Airflow · Mage
  4. 04

    Deliver

    Make data available for reporting and analytics.

    Snowflake · Tableau · Cognos

A simplified illustration using technologies from my experience. It represents capabilities across roles, rather than one client deployment.

05 / ALWAYS LEARNING

A strong foundation.
A curious mind.

SnowPro Core Certification

Earned during my time at Snowflake

Verify credential
2017 — 2018

PG Diploma in Data Science

IIIT – Bangalore

CGPA 3.45 / 4
2009 — 2013

BTech in Computer Science

VJTI – Mumbai University

CGPA 7.1 / 10

HSC · 10+22007 — 2009 · 82%

ICSE · 10th2006 — 2007 · 80%

06 / RECOGNITION

Work that gets noticed.

IBM

Orion Award

Recognized for putting the client first.

IBM

Deep Skill · Manager’s Choice · Innovation Recognition

Three additional awards for technical skill and contribution.

Capgemini

Project Star Award

Recognition for project contributions.

LTI

Certificate of Appreciation

Helping conduct interviews for the Analytics business unit.

Deloitte USI

Certificate of Recognition

Unit testing automation that reduced manual effort.

TIAA

Automation appreciation

Request automation that reduced MTTR by 60%.

LET’S CONNECT

Great things start
with a conversation.

Have a data challenge, an interesting opportunity, or an idea to exchange? Let’s talk.