Swati K.

Project Manager

Gurugram, Haryana, India8 yrs 7 mos experience
Most Likely To SwitchAI Enabled

Key Highlights

  • 9+ years in data engineering and analytics.
  • Led AWS cloud migration, reducing costs by 20%.
  • Developed scalable ETL pipelines improving data accuracy by 30%.
Stackforce AI infers this person is a Data Engineering and Analytics expert with a focus on cloud solutions and business intelligence.

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Skills

Core Skills

Data EngineeringProject ManagementData AnalyticsBusiness IntelligenceData Analysis

Other Skills

Cloud StorageData MigrationMicrosoft AzureProject DeliverySoftware Project ManagementSoftware Development Life Cycle (SDLC)Oracle SQL DeveloperProject Stakeholder ManagementTeam BuildingOrganizational LeadershipAWS Cloud MigrationData ScienceData GovernanceJiraAgile & Waterfall Methodologies

About

Hi! I am Swati. I've been in the data world for the past 9+ years of my career now. I've worked with visionary startups — that you now know as Paytm & C2FO. I’ve also worked with consulting firms like EXL and legacy companies like TE Connectivity, a leader in semiconductor manufacturing. I started as a Business Analyst, and my interest in the power of data kept on enhancing — hence the transition in roles: BA → BI Analyst → Data Engineer → Data Analytics Manager → Data Engineering Project Manager The initial 5 years were completely hands-on with SQL, PySpark, Tableau, Power BI, Redshift, AWS S3, DBT, and Git. In this incredible journey, I got to work across e-commerce, retail, supply chain, utilities, BFSI, and healthcare clients. I am amazed to see the data-driven industry that has shaped billion-dollar businesses in the last 8 years, and I intend to be among those people in the data field who're a part of end-to-end solution building for fantastic products & services — DaaS, SaaS, PaaS (you get the idea). I respect driven people a lot and love working with them because they improve my capabilities — every passing day. As a Technical Project Manager, I’ve worked with CXOs, Directors, VPs, and senior leadership on both the business and tech sides across full SDLC lifecycles. I’ve collaborated with product, engineering, QA, developers, architects, BI teams, and have done rigorous documentation — BRDs, SOWs, Project Charters, Project Plans, cash burn trackers, WBS, POCs, AODs, SOPs, etc. I’ve used Agile methodologies to conduct product backlog grooming and Scrum ceremonies to deliver end-to-end projects across Data Engineering, DevOps, and Data Analytics — all under HIPAA & GDPR laws. Of course, the budgeting, Microsoft Project, burndown charts, Scrum and Kanban KPIs, Steering Committee calls, QBRs, MBRs, and tech hiring were delivered too. :) To keep my Data Science knowledge up to date, I pursued a PG Diploma from IIIT Bangalore and a Master’s from Liverpool John Moores University, UK, after my B.Tech from Bharti Vidyapeeth COE, Delhi. And I've strong plans to continue the upskilling game in the future!

Experience

8 yrs 7 mos
Total Experience
1 yr 8 mos
Average Tenure
2 yrs 10 mos
Current Experience

Te connectivity

Project Manager Data & Cloud Engineering

Aug 2023Present · 2 yrs 10 mos

  • End-to-End Project Execution and Delivery
  • Executed full-lifecycle data platform builds—from requirement analysis and architecture to deployment and post-production hypercare—ensuring 0 critical defects in production
  • Cloud Data Migration & Scalability
  • Led AWS cloud migration using S3, Glue, Redshift, and Lake Formation, cutting infra costs by 20% and enabling self-service analytics.
  • DevOps & CI/CD Implementation
  • Established GitLab CI/CD pipelines with RBAC, environment-specific deployments, and Terraform-based IaC for data engineering projects.
  • Business & Program Documentation
  • Owned creation of BRDs, FRDs, test plans, deployment runbooks, and RACI matrices, version-controlled in Confluence and Git.
  • Data Governance and Project Compliance
  • Maintained compliance with GDPR, HIPAA, and internal audit policies via lineage tracking, access logs, and Confluence-based governance templates.
  • Stakeholder and Program Management
  • Collaborated with cross-functional teams to define data platform strategies, roadmap features, and integration patterns aligned with enterprise data governance standards
  • Agile Leadership & Scrum Master
  • Led Agile teams using Jira, driving sprint velocity through backlog grooming, capacity planning, and sprint retros with burndown and velocity tracking.
  • Data & Digital Transformation
  • Handled data projects that automated manual workflows, improving cycle time by 70% and achieving 6x ROI through scalable, modular architecture.
  • Risk Management
  • Implemented a risk log matrix and integrated change control process, reducing scope creep and timeline deviation across high-visibility programs.
  • Budgeting and Forecasting
  • Managed forecasting with variance tracking and Program burn-down analysis in alignment with finance KPIs.
  • Resource Management
  • Monitored team capacity vs. project backlog using custom Jira dashboards, optimizing resource allocation and cross-skill utilization.
Cloud StorageData MigrationMicrosoft AzureProject DeliverySoftware Project ManagementSoftware Development Life Cycle (SDLC)+18

Exl

Analytics Manager

Aug 2022Aug 2023 · 1 yr

  • Data Pipelines & BI Development: Built scalable ETL pipelines using advanced SQL, Power BI, and data modeling, improving data accuracy by 30% and enabling real-time insights.
  • Data Migration: Led migration from SAS to PySpark, optimizing data ingestion, reducing operational costs by 20%.
  • Consulting & Strategy: Identified & built strategies to resolve project roadblocks, mentored 10+ junior analysts, provided consultation to clients on business problems and collaborated with C-suite executives to mitigate project risks by 30% through data-driven insights.
  • Leadership & Stakeholder Management: Ran 12+ data projects with a team of 22 Consultants, ensuring monthly revenue stabilization of £8M+.
  • Research & Technical Documentation: Researched, documented and implemented optimized functionalities for SQL, Power BI, and Python, optimizing codes by 20% enabling faster dashboard performance.
  • Hiring, Scaling & Building Data Teams: Conducted technical & cultural fit interviews for over 30+ data analysts, data engineers & data scientists, on-boarded & groomed them to suit business goals, become hands on for BU suitable technologies.
PySparkData AnalyticsMicrosoft Power BIData GovernanceSQLStatistics+6

Youtube

Educator

Feb 2022Present · 4 yrs 4 mos

  • Helping aspiring data science professionals understand best practices of business intelligence, dashboarding techniques, intelligently interviewing the stakeholders to convert business into mathematical, statistical & technical problems.
Data AnalyticsProblem Solving

C2fo

Business Intelligence Analyst

Jun 2021Aug 2022 · 1 yr 2 mos

  • Business Intelligence & Reporting: Generated 30+ automated dashboards ensuring seamless monthly/weekly/daily publication of financial performance reports. End Users: HSBC, Walmart, Amazon, Uber, Britannia, Philips, Oriflame, Maersk, Cummins, Reliance, Garret Motion etc.
  • Data Migration: Led the migration of 50+ tables & dashboards from SQL Server to Redshift with zero downtime, ensuring data integrity and operational continuity.
  • SQL Query Optimization: Developed and optimized complex SQL queries (including CTEs, stored procedures, and window functions) improving ETL performance by 30% and enhancing data pipeline efficiency.
  • Buyer Launch Analysis: Designed and executed SQL-based revenue analytics, identifying potential high-value buyers, increasing onboarding conversion by 20%, and mitigating unproven financial investments.
  • Statistical Analysis & Modeling: Applied linear/multiple regression & correlation analysis using Python libraries, uncovering key financial trends and improving KPI tracking by 40%.
Data ScienceData AnalyticsBusiness StrategyPredictive AnalyticsData GovernanceSQL+9

Paytm

Lead Business Analyst

Mar 2020Apr 2021 · 1 yr 1 mo · Noida, Uttar Pradesh, India

  • Data Analysis: Analyzing courier performances based on various metrics, outlining problems & solutions, forecasting & budgeting, providing visibility to forward logistics & other teams, identifying potential bottlenecks from data & dissolving them, hence providing descriptive & diagnostic analysis.
  • Reports & Dashboards: preparing reports & dashboards for stakeholders, clients. Automated daily & biweekly reports for especially CXOs.
  • Technical Interviews & Recruitments: Interviewing candidates for profiles of data analyst &business analysts.
  • Training & Skill Building: Trained 3 associates & helped them develop core data analysis skills, team ethics, stakeholder management & reporting skills
HiveData SciencePredictive AnalyticsData GovernanceAmazon EC2SQL+5

Advance technology hub - india

Business Data Analyst

Sep 2017Mar 2020 · 2 yrs 6 mos · Delhi

Microsoft OfficeBusiness Intelligence Tools

Zomato

Data Analyst intern

Jun 2017Aug 2017 · 2 mos · Gurugram, Haryana, India

Microsoft Office

Vdocipher media solutions private limited

Marketing Analyst Intern

Jul 2016Aug 2016 · 1 mo · Gurugram, Haryana, India

Microsoft OfficeMarketing

Delhi metro rail corporation ltd

Electrical Engineering Intern

May 2016Aug 2016 · 3 mos · Delhi, India

Microsoft Office

Education

Liverpool John Moores University

Master's degree — Data Science

International Institute of Information Technology Bangalore

Diploma of Education — Data science

Bharati Vidyapeeth

Bachelor of Technology - BTech

Prayag Sangeet Samiti Prayagraj

Diploma of Education — Indian classical Music

Oct 2013Oct 2015

Kendriya Vidyalaya

High School Diploma — Mathematics and Computer Science

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