Vicky Jha

Data Engineer

Bengaluru, Karnataka, India4 yrs 9 mos experience
Highly Stable

Key Highlights

  • Expert in architecting scalable data solutions
  • Proven track record in performance optimization
  • Strong background in Azure ecosystem technologies
Stackforce AI infers this person is a Big Data Engineer specializing in Azure cloud technologies.

Contact

LinkedIn

Skills

Core Skills

Azure DatabricksPython (programming Language)Azure Data FactoryPysparkApache SparkData Cleaning

Other Skills

Agile MethodologiesAzure Data LakeAzure Key VaultAzure Synapse AnalyticsBig DataConfluenceDelta LakeGitGitHubHDFSJiraLinuxMicrosoft AzurePyspark Performance TuningSQL

About

𝐼 π‘Žπ‘š π‘Ž β„Žπ‘–π‘”β„Žπ‘™π‘¦ π‘šπ‘œπ‘‘π‘–π‘£π‘Žπ‘‘π‘’π‘‘ 𝑨𝒛𝒖𝒓𝒆 π‘©π’Šπ’ˆ 𝑫𝒂𝒕𝒂 π‘¬π’π’ˆπ’Šπ’π’†π’†π’“ π‘€π‘–π‘‘β„Ž π‘Ž π‘ π‘‘π‘Ÿπ‘œπ‘›π‘” π‘‘π‘Ÿπ‘Žπ‘π‘˜ π‘Ÿπ‘’π‘π‘œπ‘Ÿπ‘‘ π‘œπ‘“ π‘‘π‘’π‘™π‘–π‘£π‘’π‘Ÿπ‘–π‘›π‘” π‘ π‘π‘Žπ‘™π‘Žπ‘π‘™π‘’, β„Žπ‘–π‘”β„Ž-π‘π‘’π‘Ÿπ‘“π‘œπ‘Ÿπ‘šπ‘Žπ‘›π‘π‘’, π‘Žπ‘›π‘‘ 𝑏𝑒𝑠𝑖𝑛𝑒𝑠𝑠-π‘Žπ‘™π‘–π‘”π‘›π‘’π‘‘ π‘‘π‘Žπ‘‘π‘Ž π‘ π‘œπ‘™π‘’π‘‘π‘–π‘œπ‘›π‘ . 𝑀𝑦 𝑒π‘₯π‘π‘’π‘Ÿπ‘‘π‘–π‘ π‘’ 𝑙𝑖𝑒𝑠 𝑖𝑛 π‘Žπ‘Ÿπ‘β„Žπ‘–π‘‘π‘’π‘π‘‘π‘–π‘›π‘” π‘Žπ‘›π‘‘ π‘‘π‘’π‘£π‘’π‘™π‘œπ‘π‘–π‘›π‘” π‘π‘™π‘œπ‘’π‘‘-π‘π‘Žπ‘ π‘’π‘‘ π‘‘π‘Žπ‘‘π‘Ž π‘π‘™π‘Žπ‘‘π‘“π‘œπ‘Ÿπ‘šπ‘  π‘‘β„Žπ‘Žπ‘‘ π‘‘π‘Ÿπ‘Žπ‘›π‘ π‘“π‘œπ‘Ÿπ‘š π‘Ÿπ‘Žπ‘€ π‘‘π‘Žπ‘‘π‘Ž π‘–π‘›π‘‘π‘œ π‘Žπ‘π‘‘π‘–π‘œπ‘›π‘Žπ‘π‘™π‘’ π‘–π‘›π‘ π‘–π‘”β„Žπ‘‘π‘ . π‘»π’†π’„π’‰π’π’Šπ’„π’‚π’ π‘·π’“π’π’‡π’Šπ’„π’Šπ’†π’π’„π’Šπ’†π’” π‘³π’‚π’π’ˆπ’–π’‚π’ˆπ’†π’” & 𝑻𝒐𝒐𝒍𝒔: β€’ π‘ƒπ‘¦π‘‘β„Žπ‘œπ‘› β€’ 𝑆𝑄𝐿 β€’ π‘ƒπ‘¦π‘†π‘π‘Žπ‘Ÿπ‘˜ 𝑨𝒛𝒖𝒓𝒆 π‘¬π’„π’π’”π’šπ’”π’•π’†π’Ž π‘¬π’™π’‘π’†π’“π’•π’Šπ’”π’†: β€’ π΄π‘§π‘’π‘Ÿπ‘’ π·π‘Žπ‘‘π‘Žπ‘π‘Ÿπ‘–π‘π‘˜π‘  β€’ π΄π‘§π‘’π‘Ÿπ‘’ π·π‘Žπ‘‘π‘Ž πΉπ‘Žπ‘π‘‘π‘œπ‘Ÿπ‘¦ β€’ π΄π‘§π‘’π‘Ÿπ‘’ π·π‘Žπ‘‘π‘Ž πΏπ‘Žπ‘˜π‘’ π‘†π‘‘π‘œπ‘Ÿπ‘Žπ‘”π‘’ (𝐴𝐷𝐿𝑆 𝐺𝑒𝑛2) β€’ π΄π‘§π‘’π‘Ÿπ‘’ π‘†π‘¦π‘›π‘Žπ‘π‘ π‘’ π΄π‘›π‘Žπ‘™π‘¦π‘‘π‘–π‘π‘  π‘²π’†π’š π‘Ίπ’•π’“π’†π’π’ˆπ’•π’‰π’” β€’ 𝐷𝑒𝑠𝑖𝑔𝑛𝑖𝑛𝑔 π‘Žπ‘›π‘‘ π‘œπ‘π‘‘π‘–π‘šπ‘–π‘§π‘–π‘›π‘” π‘™π‘Žπ‘Ÿπ‘”π‘’-π‘ π‘π‘Žπ‘™π‘’ π‘‘π‘Žπ‘‘π‘Ž 𝑝𝑖𝑝𝑒𝑙𝑖𝑛𝑒𝑠 π‘“π‘œπ‘Ÿ π‘Ÿπ‘’π‘Žπ‘™-π‘‘π‘–π‘šπ‘’ π‘Žπ‘›π‘‘ π‘π‘Žπ‘‘π‘β„Ž π‘π‘Ÿπ‘œπ‘π‘’π‘ π‘ π‘–π‘›π‘” β€’ 𝐡𝑒𝑖𝑙𝑑𝑖𝑛𝑔 𝑒𝑛𝑑-π‘‘π‘œ-𝑒𝑛𝑑 𝐸𝑇𝐿/𝐸𝐿𝑇 π‘€π‘œπ‘Ÿπ‘˜π‘“π‘™π‘œπ‘€π‘  𝑒𝑠𝑖𝑛𝑔 π‘šπ‘œπ‘‘π‘’π‘Ÿπ‘› π‘π‘™π‘œπ‘’π‘‘-π‘›π‘Žπ‘‘π‘–π‘£π‘’ π‘‘π‘œπ‘œπ‘™π‘  β€’ πΌπ‘šπ‘π‘™π‘’π‘šπ‘’π‘›π‘‘π‘–π‘›π‘” π‘‘π‘Žπ‘‘π‘Ž π‘žπ‘’π‘Žπ‘™π‘–π‘‘π‘¦ π‘β„Žπ‘’π‘π‘˜π‘ , π‘£π‘Žπ‘™π‘–π‘‘π‘Žπ‘‘π‘–π‘œπ‘› π‘“π‘Ÿπ‘Žπ‘šπ‘’π‘€π‘œπ‘Ÿπ‘˜π‘ , π‘Žπ‘›π‘‘ π‘π‘’π‘Ÿπ‘“π‘œπ‘Ÿπ‘šπ‘Žπ‘›π‘π‘’-𝑑𝑒𝑛𝑒𝑑 π‘π‘Ÿπ‘œπ‘π‘’π‘ π‘ π‘’π‘  β€’ πΆπ‘œπ‘™π‘™π‘Žπ‘π‘œπ‘Ÿπ‘Žπ‘‘π‘–π‘›π‘” π‘€π‘–π‘‘β„Ž π‘π‘Ÿπ‘œπ‘ π‘ -π‘“π‘’π‘›π‘π‘‘π‘–π‘œπ‘›π‘Žπ‘™ π‘‘π‘’π‘Žπ‘šπ‘  π‘‘π‘œ π‘‘π‘’π‘™π‘–π‘£π‘’π‘Ÿ β„Žπ‘–π‘”β„Ž-π‘–π‘šπ‘π‘Žπ‘π‘‘ π‘ π‘œπ‘™π‘’π‘‘π‘–π‘œπ‘›π‘  β€’ 𝐴𝑝𝑝𝑙𝑦𝑖𝑛𝑔 𝑏𝑒𝑠𝑑 π‘π‘Ÿπ‘Žπ‘π‘‘π‘–π‘π‘’π‘  𝑖𝑛 π‘‘π‘Žπ‘‘π‘Ž π‘”π‘œπ‘£π‘’π‘Ÿπ‘›π‘Žπ‘›π‘π‘’, π‘ π‘’π‘π‘’π‘Ÿπ‘–π‘‘π‘¦, π‘Žπ‘›π‘‘ π‘π‘œπ‘ π‘‘-𝑒𝑓𝑓𝑒𝑐𝑑𝑖𝑣𝑒 π‘π‘™π‘œπ‘’π‘‘ π‘Žπ‘Ÿπ‘β„Žπ‘–π‘‘π‘’π‘π‘‘π‘’π‘Ÿπ‘’ π‘·π’“π’π’‡π’†π’”π’”π’Šπ’π’π’‚π’ 𝑭𝒐𝒄𝒖𝒔 𝑨𝒓𝒆𝒂𝒔 β€’ π‘†π‘π‘Žπ‘™π‘Žπ‘π‘™π‘’ π‘‘π‘Žπ‘‘π‘Ž π‘Žπ‘Ÿπ‘β„Žπ‘–π‘‘π‘’π‘π‘‘π‘’π‘Ÿπ‘’ 𝑑𝑒𝑠𝑖𝑔𝑛 β€’ π·π‘–π‘ π‘‘π‘Ÿπ‘–π‘π‘’π‘‘π‘’π‘‘ π‘‘π‘Žπ‘‘π‘Ž π‘π‘Ÿπ‘œπ‘π‘’π‘ π‘ π‘–π‘›π‘” π‘Žπ‘›π‘‘ π‘œπ‘Ÿπ‘β„Žπ‘’π‘ π‘‘π‘Ÿπ‘Žπ‘‘π‘–π‘œπ‘› β€’ π·π‘Žπ‘‘π‘Ž π‘‘π‘Ÿπ‘Žπ‘›π‘ π‘“π‘œπ‘Ÿπ‘šπ‘Žπ‘‘π‘–π‘œπ‘› π‘Žπ‘›π‘‘ π‘–π‘›π‘‘π‘’π‘”π‘Ÿπ‘Žπ‘‘π‘–π‘œπ‘› β€’ π·π‘Žπ‘‘π‘Ž π‘Žπ‘›π‘Žπ‘™π‘¦π‘‘π‘–π‘π‘  π‘’π‘›π‘Žπ‘π‘™π‘’π‘šπ‘’π‘›π‘‘ π‘Žπ‘›π‘‘ π‘Ÿπ‘’π‘π‘œπ‘Ÿπ‘‘π‘–π‘›π‘” π‘Ÿπ‘’π‘Žπ‘‘π‘–π‘›π‘’π‘ π‘  β€’ πΆπ‘œπ‘›π‘‘π‘–π‘›π‘’π‘œπ‘’π‘  π‘™π‘’π‘Žπ‘Ÿπ‘›π‘–π‘›π‘” π‘Žπ‘›π‘‘ π‘‘π‘’π‘β„Žπ‘›π‘œπ‘™π‘œπ‘”π‘¦ π‘Žπ‘‘π‘œπ‘π‘‘π‘–π‘œπ‘› π‘΄π’š 𝑨𝒑𝒑𝒓𝒐𝒂𝒄𝒉 𝐼 𝑏𝑙𝑒𝑛𝑑 π‘‘π‘’π‘β„Žπ‘›π‘–π‘π‘Žπ‘™ 𝑒π‘₯π‘π‘’π‘Ÿπ‘‘π‘–π‘ π‘’ π‘€π‘–π‘‘β„Ž π‘Ž 𝑏𝑒𝑠𝑖𝑛𝑒𝑠𝑠-π‘“π‘–π‘Ÿπ‘ π‘‘ π‘šπ‘–π‘›π‘‘π‘ π‘’π‘‘ π‘‘π‘œ 𝑏𝑒𝑖𝑙𝑑 π‘‘π‘Žπ‘‘π‘Ž π‘π‘™π‘Žπ‘‘π‘“π‘œπ‘Ÿπ‘šπ‘  π‘‘β„Žπ‘Žπ‘‘ π‘π‘œπ‘€π‘’π‘Ÿ π‘Žπ‘›π‘Žπ‘™π‘¦π‘‘π‘–π‘π‘  π‘Žπ‘›π‘‘ π‘’π‘›π‘Žπ‘π‘™π‘’ π‘“π‘Žπ‘ π‘‘π‘’π‘Ÿ, π‘ π‘šπ‘Žπ‘Ÿπ‘‘π‘’π‘Ÿ π‘‘π‘’π‘π‘–π‘ π‘–π‘œπ‘›π‘ . 𝐼 π‘‘β„Žπ‘Ÿπ‘–π‘£π‘’ 𝑖𝑛 π‘“π‘Žπ‘ π‘‘-π‘π‘Žπ‘π‘’π‘‘ π‘’π‘›π‘£π‘–π‘Ÿπ‘œπ‘›π‘šπ‘’π‘›π‘‘π‘  π‘€β„Žπ‘’π‘Ÿπ‘’ π‘–π‘›π‘›π‘œπ‘£π‘Žπ‘‘π‘–π‘œπ‘›, π‘π‘Ÿπ‘’π‘π‘–π‘ π‘–π‘œπ‘›, π‘Žπ‘›π‘‘ π‘π‘œπ‘™π‘™π‘Žπ‘π‘œπ‘Ÿπ‘Žπ‘‘π‘–π‘œπ‘› π‘‘π‘Ÿπ‘–π‘£π‘’ π‘Ÿπ‘’π‘ π‘’π‘™π‘‘π‘ .

Experience

Tiger analytics

Data Engineer

Dec 2024 – Present Β· 1 yr 3 mos Β· Pune, Maharashtra, India Β· Hybrid

Azure DatabricksPython (Programming Language)Azure Data LakeSQLPySparkConfluence+5

Infosys

5 roles

Systems Engineer

Promoted

Jan 2023 – Dec 2024 Β· 1 yr 11 mos

  • Led the migration of data from multiple sources to ADLS Gen2, empowering teams to analyze over 50 TB of data.
Azure DatabricksAzure Data LakeSQLLinuxAzure Data FactoryAzure Synapse Analytics+1

Senior System Associate

Jul 2022 – Dec 2022 Β· 5 mos

  • Improved a series of transformations in an existing PySpark project, resulting in 35% enhancement in performance.
Azure DatabricksPython (Programming Language)Azure Data LakeAzure Key VaultSQLApache Spark+5

Senior Operations Executive

Apr 2022 – Jun 2022 Β· 2 mos

  • Led performance initiatives that optimized Spark jobs, yielding a 57% improvement in data processing speed.
Azure DatabricksPython (Programming Language)Azure Data LakeAzure Key VaultSQLApache Spark+5

Operations Executive

Jan 2021 – Mar 2022 Β· 1 yr 2 mos

  • Engineered and implemented data cleaning strategies, resulting in a 30% reduction in data errors and 50% increase in data processing efficiency.
Azure DatabricksPython (Programming Language)Azure Data LakeAzure Key VaultSQLApache Spark+6

Operations Executive Trainee

Sep 2020 – Dec 2020 Β· 3 mos

Education

Institute of Engineering & Management (IEM)

BCA β€” Computer Application

Jul 2017 – Jul 2020

Stackforce found 100+ more professionals with Azure Databricks & Python (programming Language)

Explore similar profiles based on matching skills and experience

Tanvi Borhade

Tanvi Borhade

Senior Analyst/Software Engineer

at Capgemini

Pune, India4 yrs exp
Arud Seka Berne S

Arud Seka Berne S

Engineer - Data Engineering

at Altimetrik

Chennai, India4 yrs 5 mos exp
Chetan kumar Korde

Chetan kumar Korde

Associate Consultant

at Capgemini

Bhopal, India4 yrs 3 mos exp
Krishna Vamm

Krishna Vamm

Associate staff engineer

at Nagarro

Bengaluru, India6 yrs 6 mos exp
Kajal Dash

Kajal Dash

Accumulated Expertise

at Career-Wide Experience

Koraput, India0 mo exp
GK

Gireesh Kumar Singh

Deputy Manager II

at ICICI Bank

Thane, India2 yrs 8 mos exp
Data AnalysisMicrosoft Azure
Prerana Zamre

Prerana Zamre

Lead Software Engineer

at Persistent Systems

Pune, India6 yrs 9 mos exp
UH

Uday Hari Narayanan

Senior Consultant

at Celonis

Bengaluru, India5 yrs 9 mos exp
Business IntelligenceData Analytics