Dinesh Pandey

DevOps Engineer

Noida, Uttar Pradesh, India7 yrs 10 mos experience

Key Highlights

  • 6+ years of experience in data engineering.
  • Expert in Azure Data Factory and Databricks.
  • Strong problem-solving skills across multiple domains.
Stackforce AI infers this person is a Data Engineer with expertise in Fintech and cloud data solutions.

Contact

LinkedIn

Skills

Core Skills

DatabricksPysparkAdfSqlPower BiEtl

Other Skills

PythonExtractTransformLoad (ETL)ADBVBAMicrosoft Power BIAgile Project ManagementAgile MethodologiesAlteryx serverVisual Basic for Applications (VBA)MacroMicrosoft Power QueryMicrosoft AccessAdvance excel

About

Welcome to my LinkedIn profile! I am a Data professional with 6+ year of experience. I love coding and solve real time problem with skill set which I have. Have closely worked with business team and solved many data problem for different domain (Insurance, FinTech, Production). Got good exposure on different tools like ADF, Databricks, SQL, PL/SQL, Python, PySpark, ETL, Alteryx, Power BI and VBA. My specialties include quickly learning new skills and programming languages, problem solving, So far, I have ADF, Databricks, PySpark, SQL, PL/SQL, Python, and Alteryx under my belt. I'm still enthusiastically grabbing onto any other programming languages, frameworks, or principles I can integrate into the coding web in my head.

Experience

Hcltech

Senior Technical Lead

Jan 2025 – Present · 1 yr 2 mos · Noida, Uttar Pradesh, India · On-site

DatabricksPySparkSQLADF

Metlife

2 roles

Assistant Manager

Jul 2024 – Jan 2025 · 6 mos · Noida, Uttar Pradesh, India · On-site

ADFPySparkSQLPythonDatabricks

Team Lead

Apr 2022 – Jul 2024 · 2 yrs 3 mos · Noida, Uttar Pradesh, India · On-site

ADFPySparkSQLPythonPower BIDatabricks

Paytm payments bank

Team Lead

Oct 2020 – Jan 2022 · 1 yr 3 mos · Noida, Uttar Pradesh, India

  • Developed Azure Data Factory (ADF) pipelines for data extraction, processing, and distribution, automating workflows to meet stakeholder reporting needs.
  • Extracted and managed data from multiple sources, including Azure Data Lake Storage (ADLS) and Azure SQL Database ensuring seamless data integration and consistency.
  • Configured and scheduled Azure Data Factory triggers and jobs to enable reliable, timely report delivery for business stakeholders.
  • Created and maintained SQL views, stored procedures, and queries in Azure SQL Database to support custom reporting needs, including HR-related reports such as ad-hoc and attendance summaries.
ExtractTransformLoad (ETL)ADFADBPySpark+2

Aviva india

Sr. Executive

Oct 2019 – Oct 2020 · 1 yr · Gurugram, Haryana, India

  • >> Responsible to prepare Daily Business Dashboard.
  • >> Handling Monthly, Quarterly, and Annually Incentive and RnR reports.
  • >> Data cleansing in SQL Server,
  • >> Creating views as per requirements.
  • >> Support to IT team in reports automation.
  • >> Automate the reports by using VBA and SQL Queries.
  • >> Responsible for Ad Hoc Reports.
  • >> Query Resolution
  • >> ShortFall report of Incentive and RnR
  • >> Providing attrition details to Channel Spoc.

Max life insurance company limited

MIS Analyst

Jan 2019 – Oct 2019 · 9 mos · Gurgaon, India

  • >Responsible to deliver Daily, Weekly and Monthly MIS.
  • >Handle Adhoc report as per requirement.
  • >Prep. Promotion data and submit to HR Dept.
  • >Prep. Skill rate MIS.
  • >Query Resolution.
  • >Report Automation with VBA and SQL
  • >Handling monthly contest and RnR.
  • >

Vipul medcorp insurance tpa pvt. ltd

Sr. MIS Analyst

Feb 2018 – Jan 2019 · 11 mos · Gurugram, Haryana, India

  • Responsibility to provide claim confirmation.
  • Preparing monthly and weekly MIS.
  • Preparing ICR and TAT of claims.
  • Preparing reports as per requirement by RM.
  • Generating Macro through VBA

Education

Punjab Technical University

M.Sc. IT — Information Technology

Ewing Christian College(Autonomous College)

PGDCA (Post Graduate Diploma in Computer Application — Computer Science

Jul 2011 – Jun 2012

Stackforce found 100+ more professionals with Databricks & Pyspark

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